init test

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: -243.93 +/- 20.82
+      value: 97.76 +/- 143.99
       name: mean_reward
     task:
       type: reinforcement-learning

config.json

@@ -1 +1 @@
-{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n    Policy class for actor-critic algorithms (has both policy and value prediction).\n    Used by A2C, PPO and the likes.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param ortho_init: Whether to use or not orthogonal initialization\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param full_std: Whether to use (n_features x n_actions) parameters\n        for the std instead of only (n_features,) when using gSDE\n    :param sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f86ad614440>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f86ad6144d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f86ad614560>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f86ad6145f0>", "_build": "<function ActorCriticPolicy._build at 0x7f86ad614680>", "forward": "<function ActorCriticPolicy.forward at 0x7f86ad614710>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f86ad6147a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f86ad614830>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f86ad6148c0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f86ad614950>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f86ad6149e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f86ad65cb40>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 65536, "_total_timesteps": 50000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1651678641.886043, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.3107200000000001, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 16, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
+{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n    Policy class for actor-critic algorithms (has both policy and value prediction).\n    Used by A2C, PPO and the likes.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param ortho_init: Whether to use or not orthogonal initialization\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param full_std: Whether to use (n_features x n_actions) parameters\n        for the std instead of only (n_features,) when using gSDE\n    :param sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f86ad614440>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f86ad6144d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f86ad614560>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f86ad6145f0>", "_build": "<function ActorCriticPolicy._build at 0x7f86ad614680>", "forward": "<function ActorCriticPolicy.forward at 0x7f86ad614710>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f86ad6147a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f86ad614830>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f86ad6148c0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f86ad614950>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f86ad6149e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f86ad65cb40>"}, "verbose": 0, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "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", "n": 4, "_shape": [], "dtype": "int64", "_np_random": "RandomState(MT19937)"}, "n_envs": 16, "num_timesteps": 1001472, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1651680057.8420744, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0014719999999999178, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVdhAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIIHwo0ZJrYkCUhpRSlIwBbJRN6AOMAXSUR0Cka8JcgQpXdX2UKGgGaAloD0MID2H8NO4HYUCUhpRSlGgVTbkBaBZHQKRzyoy9EkV1fZQoaAZoCWgPQwhGC9C2mmVXQJSGlFKUaBVN6ANoFkdApHfwHzH0b3V9lChoBmgJaA9DCKpiKv2EmVxAlIaUUpRoFU3oA2gWR0CkeRGRNh3JdX2UKGgGaAloD0MI4UGz697qWECUhpRSlGgVTegDaBZHQKR5H3bmEGt1fZQoaAZoCWgPQwgrFyr/WvZUQJSGlFKUaBVN6ANoFkdApHtKIvalDXV9lChoBmgJaA9DCAoxl1Ttym5AlIaUUpRoFU2dAWgWR0CkfgLl3hXKdX2UKGgGaAloD0MIV3vYCwUZVUCUhpRSlGgVTegDaBZHQKSANeIl+mZ1fZQoaAZoCWgPQwiy2vy/6rtgQJSGlFKUaBVN6ANoFkdApIChSWJJoXV9lChoBmgJaA9DCH+/mC3ZBWVAlIaUUpRoFU1zAmgWR0CkgU6RISUUdX2UKGgGaAloD0MIZDvfT437MkCUhpRSlGgVS+1oFkdApISX24/eL3V9lChoBmgJaA9DCNLkYgysnFhAlIaUUpRoFU3oA2gWR0Cki2eFlCkXdX2UKGgGaAloD0MIsJKP3QUDWkCUhpRSlGgVTegDaBZHQKSMkKpDNQl1fZQoaAZoCWgPQwhD5V/LK11nQJSGlFKUaBVNFAJoFkdApI4C+JxecHV9lChoBmgJaA9DCFqeB3dn6VtAlIaUUpRoFU3oA2gWR0CkjwbsOXmedX2UKGgGaAloD0MIkga3tQVXYUCUhpRSlGgVTegDaBZHQKSQUMy8BdV1fZQoaAZoCWgPQwgdzCbAsPRnQJSGlFKUaBVNdgFoFkdApJGu40/GEXV9lChoBmgJaA9DCA1tADYgl15AlIaUUpRoFU3oA2gWR0CkkdWD6FdtdX2UKGgGaAloD0MIrTWU2ouiX0CUhpRSlGgVTegDaBZHQKSV6AuqWC51fZQoaAZoCWgPQwieYWpLHeZDwJSGlFKUaBVL72gWR0CklkbtAs06dX2UKGgGaAloD0MIEY/Ey9NvWUCUhpRSlGgVTegDaBZHQKSaekY4yXV1fZQoaAZoCWgPQwicTUcAN8VSwJSGlFKUaBVL8GgWR0Ckm+AS39aVdX2UKGgGaAloD0MInRN7aB+rLcCUhpRSlGgVTUsBaBZHQKSc6dgfEGZ1fZQoaAZoCWgPQwiTjnIwm8BGwJSGlFKUaBVNRAFoFkdApJ/TcbiqAHV9lChoBmgJaA9DCJViR+NQ8VTAlIaUUpRoFU1CAWgWR0Cko/Rri2lVdX2UKGgGaAloD0MIw/UoXI8cX0CUhpRSlGgVTegDaBZHQKSmDO/L1VZ1fZQoaAZoCWgPQwhiEFg5NB9hQJSGlFKUaBVN6ANoFkdApKbIzguRLnV9lChoBmgJaA9DCGsNpfYi+VFAlIaUUpRoFU3oA2gWR0CkqIX7DVH4dX2UKGgGaAloD0MIvwzGiEQRRsCUhpRSlGgVS/toFkdApKqxvegte3V9lChoBmgJaA9DCN8WLNUFnFZAlIaUUpRoFU3oA2gWR0Ckqrq8lHBldX2UKGgGaAloD0MILGUZ4liqbUCUhpRSlGgVTXYBaBZHQKSr7rTH80l1fZQoaAZoCWgPQwgL0SFwJMJQQJSGlFKUaBVN6ANoFkdApKysZgogFHV9lChoBmgJaA9DCJ1LcVVZu2BAlIaUUpRoFU3oA2gWR0CkrTejEehgdX2UKGgGaAloD0MIlS2SdqOdXUCUhpRSlGgVTegDaBZHQKSv60Nz8xd1fZQoaAZoCWgPQwhF1ESfj5oswJSGlFKUaBVNKwFoFkdApLQ9CTlkpnV9lChoBmgJaA9DCPUUOUTc/AzAlIaUUpRoFU0lAWgWR0CktdA+yJKrdX2UKGgGaAloD0MIesiUD0FhR8CUhpRSlGgVTTQBaBZHQKS2Wkona391fZQoaAZoCWgPQwhOnUfF//FQQJSGlFKUaBVN6ANoFkdApLaEFGG21HV9lChoBmgJaA9DCO/H7ZfPaWFAlIaUUpRoFU3oA2gWR0Ckt5tMPBi1dX2UKGgGaAloD0MIGVbxRuZZWECUhpRSlGgVTegDaBZHQKS5lgXuVop1fZQoaAZoCWgPQwgpe0s5X0wQQJSGlFKUaBVNQQFoFkdApLnITAWSEHV9lChoBmgJaA9DCChJ10w+QmtAlIaUUpRoFU16AWgWR0CkumjRc/t6dX2UKGgGaAloD0MI8S4X8Z0mQcCUhpRSlGgVTR8BaBZHQKS69ydWhh91fZQoaAZoCWgPQwgVqMXgYXhbQJSGlFKUaBVN6ANoFkdApL4r6ab4J3V9lChoBmgJaA9DCC8xlumXeEvAlIaUUpRoFUvZaBZHQKTBtkuHvc91fZQoaAZoCWgPQwg9Sbpm8tZbQJSGlFKUaBVN6ANoFkdApMJF8LKFI3V9lChoBmgJaA9DCLH9ZIyPqWVAlIaUUpRoFU2BAWgWR0CkwzRGUfPpdX2UKGgGaAloD0MI6Nms+lzxYECUhpRSlGgVTegDaBZHQKTFKD/2kBV1fZQoaAZoCWgPQwh+j/rrFXhSQJSGlFKUaBVN6ANoFkdApMwZUaQ3gnV9lChoBmgJaA9DCLwC0ZMy5WVAlIaUUpRoFU21AWgWR0CkzPTdUKiPdX2UKGgGaAloD0MIdhppqbwJWUCUhpRSlGgVTegDaBZHQKTONN5+pfh1fZQoaAZoCWgPQwiT36KTpdRJQJSGlFKUaBVN6ANoFkdApM705wOvuHV9lChoBmgJaA9DCLDna5bLAE5AlIaUUpRoFU3oA2gWR0Ck1ZLf+CK8dX2UKGgGaAloD0MI7lwY6UWBakCUhpRSlGgVTb4BaBZHQKTY0A1ejVR1fZQoaAZoCWgPQwiBy2PNyEJGwJSGlFKUaBVNGAFoFkdApNnR8x9G7XV9lChoBmgJaA9DCKHbSxqjST/AlIaUUpRoFU0cAWgWR0Ck2r52pyZKdX2UKGgGaAloD0MI/wdYq3aHQsCUhpRSlGgVTRoBaBZHQKTbbGtITXd1fZQoaAZoCWgPQwilEp7Q615pQJSGlFKUaBVNfwFoFkdApN0P9JjDsXV9lChoBmgJaA9DCKH3xhAAVFlAlIaUUpRoFU3oA2gWR0Ck3/vJJXhgdX2UKGgGaAloD0MIRZ+PMuIbWUCUhpRSlGgVTegDaBZHQKTgg21lXil1fZQoaAZoCWgPQwhoXDgQkgJaQJSGlFKUaBVN6ANoFkdApOCoIQe3hHV9lChoBmgJaA9DCIYEjC5vZGFAlIaUUpRoFU3oA2gWR0Ck4bjJuEVWdX2UKGgGaAloD0MI9E4F3PP7WkCUhpRSlGgVTegDaBZHQKTjMpd8iOh1fZQoaAZoCWgPQwhlVYSbjKBDwJSGlFKUaBVL9GgWR0Ck41Pxx1gZdX2UKGgGaAloD0MI3gN0X05OYECUhpRSlGgVTegDaBZHQKTkccawUxp1fZQoaAZoCWgPQwiUwOYcPBMDQJSGlFKUaBVL2GgWR0Ck52Kk2xY8dX2UKGgGaAloD0MIilkvhvJNYECUhpRSlGgVTegDaBZHQKTnmdfb9Ih1fZQoaAZoCWgPQwj2B8pt+1pBwJSGlFKUaBVL6mgWR0Ck6N8FQl8gdX2UKGgGaAloD0MIpwhwehdlQcCUhpRSlGgVTUUBaBZHQKTpVylvZRN1fZQoaAZoCWgPQwiIodXJGdprQJSGlFKUaBVNigFoFkdApOosHv+fiHV9lChoBmgJaA9DCKHyr+WVv2FAlIaUUpRoFU3oA2gWR0Ck61TLns9kdX2UKGgGaAloD0MIZY7lXXUmYECUhpRSlGgVTegDaBZHQKTrywu/UON1fZQoaAZoCWgPQwiEu7N2219TQJSGlFKUaBVN6ANoFkdApOwmOZLIxXV9lChoBmgJaA9DCBuADYiQEGVAlIaUUpRoFU1xAWgWR0Ck8aPzOHFhdX2UKGgGaAloD0MImnrdIjAgRMCUhpRSlGgVS91oFkdApPLZYxL0z3V9lChoBmgJaA9DCIjX9Qt2eyrAlIaUUpRoFU0EAWgWR0Ck9XcneBQOdX2UKGgGaAloD0MIGqiMf5/5XkCUhpRSlGgVTegDaBZHQKT+IwGnn+11fZQoaAZoCWgPQwio/kEkQzozwJSGlFKUaBVNBgFoFkdApP56unuRcXV9lChoBmgJaA9DCBPyQc/mJmFAlIaUUpRoFU3oA2gWR0ClAWwaisXBdX2UKGgGaAloD0MI/g5FgT6QX0CUhpRSlGgVTegDaBZHQKUDXwZwXIl1fZQoaAZoCWgPQwiqRxrcVvhqQJSGlFKUaBVNmAFoFkdApQQj5dnkDXV9lChoBmgJaA9DCJ5g/3VuNmNAlIaUUpRoFU3oA2gWR0ClCUH/95yEdX2UKGgGaAloD0MIJqyNsRNWakCUhpRSlGgVTcYBaBZHQKUJwrtE5Qx1fZQoaAZoCWgPQwiM9+P2y2s0wJSGlFKUaBVNEwFoFkdApQoINb1RL3V9lChoBmgJaA9DCBr4UQ17SGJAlIaUUpRoFU3oA2gWR0ClCnmW2PT5dX2UKGgGaAloD0MIdGGkFzVZYUCUhpRSlGgVTegDaBZHQKUL+NrCWNZ1fZQoaAZoCWgPQwi5VKUtrlFCwJSGlFKUaBVNAAFoFkdApQwKPwNLDnV9lChoBmgJaA9DCH1Z2qm5qFtAlIaUUpRoFU3oA2gWR0ClDBkbYK6XdX2UKGgGaAloD0MIcH1Yb1SNakCUhpRSlGgVTZUBaBZHQKUO8fyPMjh1fZQoaAZoCWgPQwgYk/5eChcwQJSGlFKUaBVNKQFoFkdApQ97sByS3nV9lChoBmgJaA9DCFfrxOV4G1lAlIaUUpRoFU3oA2gWR0ClEDO6unuRdX2UKGgGaAloD0MIOL9hokG6W0CUhpRSlGgVTegDaBZHQKUQZhkRSP51fZQoaAZoCWgPQwiw5CoWv3pdQJSGlFKUaBVN6ANoFkdApREemDUVjHV9lChoBmgJaA9DCPkvEARIe2BAlIaUUpRoFU3oA2gWR0ClEfUjC53DdX2UKGgGaAloD0MIq0IDsWymOkCUhpRSlGgVS9RoFkdApRMmYQarFXV9lChoBmgJaA9DCJayDHEssmBAlIaUUpRoFU3oA2gWR0ClE9ircTJydX2UKGgGaAloD0MIxM2pZIACYkCUhpRSlGgVTegDaBZHQKUUMvAXVLB1fZQoaAZoCWgPQwjKb9HJUuhoQJSGlFKUaBVNWAFoFkdApRUdObiIcnV9lChoBmgJaA9DCOiiIeNRykBAlIaUUpRoFUu+aBZHQKUX610DEFZ1fZQoaAZoCWgPQwgqyTocXVE5QJSGlFKUaBVNCwFoFkdApRj6x5cC5nVlLg=="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1956, "n_steps": 128, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 256, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}

ppo-LunarLander-rc.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:39d967cc5d449f3349c4067523f2fd761728b62cf16bab01fd027a42dce1ad72
-size 143910
+oid sha256:f1ced1497aaa4addc4c8916e3d3d607d7a40ed6f5a926dba126812bb8ac48047
+size 147702

ppo-LunarLander-rc/data

@@ -18,7 +18,7 @@
         "__abstractmethods__": "frozenset()",
         "_abc_impl": "<_abc_data object at 0x7f86ad65cb40>"
     },
-    "verbose": 1,
+    "verbose": 0,
     "policy_kwargs": {},
     "observation_space": {
         ":type:": "<class 'gym.spaces.box.Box'>",
@@ -35,19 +35,19 @@
     },
     "action_space": {
         ":type:": "<class 'gym.spaces.discrete.Discrete'>",
-        ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
+        ":serialized:": "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",
         "n": 4,
         "_shape": [],
         "dtype": "int64",
-        "_np_random": null
+        "_np_random": "RandomState(MT19937)"
     },
     "n_envs": 16,
-    "num_timesteps": 65536,
-    "_total_timesteps": 50000,
+    "num_timesteps": 1001472,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1651678641.886043,
+    "start_time": 1651680057.8420744,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -56,7 +56,7 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -66,23 +66,23 @@
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.3107200000000001,
+    "_current_progress_remaining": -0.0014719999999999178,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIIEYIjza7VsCUhpRSlIwBbJRLWowBdJRHQE12Rradtl91fZQoaAZoCWgPQwiveOqRBkM4wJSGlFKUaBVLhmgWR0BNfCfg75mAdX2UKGgGaAloD0MId/aVB+kLUsCUhpRSlGgVSz5oFkdATX/rv9cbBHV9lChoBmgJaA9DCIY6rHDLdUzAlIaUUpRoFUtWaBZHQE2BBl+Vkc11fZQoaAZoCWgPQwgjS+ZY3kBgwJSGlFKUaBVLTWgWR0BNi0OmR/3GdX2UKGgGaAloD0MIUrXdBN+GV8CUhpRSlGgVS1xoFkdATY0IcBEKE3V9lChoBmgJaA9DCMakv5fCbFrAlIaUUpRoFUtPaBZHQE2PtG/etS11fZQoaAZoCWgPQwgIHt/etW5qwJSGlFKUaBVLgGgWR0BNkWJSBK+SdX2UKGgGaAloD0MI3+ALk6mCWcCUhpRSlGgVS1BoFkdATZuDHwPRRnV9lChoBmgJaA9DCIUHza579lnAlIaUUpRoFUtLaBZHQE2dLrX18LN1fZQoaAZoCWgPQwgD7KNTV4JawJSGlFKUaBVLRmgWR0BNniVKPGQ0dX2UKGgGaAloD0MIjCyZY/mHbsCUhpRSlGgVS2ZoFkdATadh/iHZb3V9lChoBmgJaA9DCDqvsUtUEmHAlIaUUpRoFUtfaBZHQE2orYoRZlp1fZQoaAZoCWgPQwgTDOcappV1wJSGlFKUaBVLjGgWR0BNqx/d69kCdX2UKGgGaAloD0MIpoEf1bAdVcCUhpRSlGgVS1VoFkdATa6EpRXOnnV9lChoBmgJaA9DCD8djxmo6FPAlIaUUpRoFUtNaBZHQE2vqGDcuap1fZQoaAZoCWgPQwgyWdx/pKd1wJSGlFKUaBVLXWgWR0BNr2lEZzgddX2UKGgGaAloD0MI++qqQC1lWsCUhpRSlGgVS0xoFkdATbG8f3evZHV9lChoBmgJaA9DCGXDmsqiACxAlIaUUpRoFUttaBZHQE2+YR/ViF11fZQoaAZoCWgPQwh06zU9qCdpwJSGlFKUaBVLaWgWR0BNxWki2UjcdX2UKGgGaAloD0MIBFWjVwMgW8CUhpRSlGgVS1doFkdATcn9LpRoAXV9lChoBmgJaA9DCF2Kq8q+XFvAlIaUUpRoFUtdaBZHQE3MvmozeoF1fZQoaAZoCWgPQwjVCP1MPVBhwJSGlFKUaBVLamgWR0BN0uTaCcwydX2UKGgGaAloD0MIOdTvwtZQX8CUhpRSlGgVS1RoFkdATdTIYFaB7XV9lChoBmgJaA9DCB/WG7XCW1DAlIaUUpRoFUtEaBZHQE3VvOyE+Pl1fZQoaAZoCWgPQwhivOZVnY9GwJSGlFKUaBVLPGgWR0BN14+KTB69dX2UKGgGaAloD0MIt5vgm6YoZsCUhpRSlGgVS3toFkdATd0/8l5WzXV9lChoBmgJaA9DCB6KAn0ihmDAlIaUUpRoFUteaBZHQE3dJ04iosJ1fZQoaAZoCWgPQwjCTrFqEOxXwJSGlFKUaBVLS2gWR0BN4Ot4iX6ZdX2UKGgGaAloD0MIHNE96xoFVsCUhpRSlGgVS1poFkdATeOPtD2JznV9lChoBmgJaA9DCAa4IFuWAlXAlIaUUpRoFUtkaBZHQE3tUR3/xUh1fZQoaAZoCWgPQwjLDvEP2xdowJSGlFKUaBVLf2gWR0BN77gKnei0dX2UKGgGaAloD0MIineAJy1oXMCUhpRSlGgVS3FoFkdATfomiQDFInV9lChoBmgJaA9DCIALsmX5tmTAlIaUUpRoFUtuaBZHQE36gvDgqEx1fZQoaAZoCWgPQwgyxofZS+ltwJSGlFKUaBVLVWgWR0BN/g5BC2MLdX2UKGgGaAloD0MIpDmy8sucQcCUhpRSlGgVS1JoFkdATgHAZbY9PnV9lChoBmgJaA9DCEijAidbiWfAlIaUUpRoFUtKaBZHQE4GqKgqVhV1fZQoaAZoCWgPQwhksrj/yJBWwJSGlFKUaBVLc2gWR0BOC8ghbGFSdX2UKGgGaAloD0MI3+ALk6kYU8CUhpRSlGgVSz9oFkdATg1lwtJ4B3V9lChoBmgJaA9DCNZSQNr/KGfAlIaUUpRoFUtcaBZHQE4Ubwz+FUR1fZQoaAZoCWgPQwg4SfPHtBBcwJSGlFKUaBVLbmgWR0BOF60QbuMNdX2UKGgGaAloD0MI5/9VR47CTcCUhpRSlGgVS0BoFkdAThmq3mV7hXV9lChoBmgJaA9DCCZXsfhNLVHAlIaUUpRoFUthaBZHQE4iV5a/yoZ1fZQoaAZoCWgPQwh06zU9KMVUwJSGlFKUaBVLd2gWR0BOI7VrhzeXdX2UKGgGaAloD0MIZaa0/pbnZsCUhpRSlGgVS3RoFkdATiXnSv1UVHV9lChoBmgJaA9DCGdGPxrOwWDAlIaUUpRoFUttaBZHQE4mxREWqLl1fZQoaAZoCWgPQwgFxCRcyJpcwJSGlFKUaBVLQWgWR0BOJ8m8dxQ0dX2UKGgGaAloD0MILCgMyjS7YcCUhpRSlGgVS29oFkdATihqZc9nsnV9lChoBmgJaA9DCGd79Ib7sV3AlIaUUpRoFUtQaBZHQE4xapxWDHx1fZQoaAZoCWgPQwjl8EknEipCwJSGlFKUaBVLR2gWR0BONpIUahpQdX2UKGgGaAloD0MImrZ/ZaVWVMCUhpRSlGgVS21oFkdATjn5zo2XLXV9lChoBmgJaA9DCNAqM6V1DWzAlIaUUpRoFUtiaBZHQE5BIMBp5/t1fZQoaAZoCWgPQwjDRIMUPAdBwJSGlFKUaBVLQmgWR0BOQ3dbgTAWdX2UKGgGaAloD0MIu5195UGWbsCUhpRSlGgVS1hoFkdATklB+nZTQ3V9lChoBmgJaA9DCA5KmGn711vAlIaUUpRoFUtbaBZHQE5Jv0h/y5J1fZQoaAZoCWgPQwjCa5c2nGNkwJSGlFKUaBVLaGgWR0BOWa8QI2OydX2UKGgGaAloD0MILbXeb7RWV8CUhpRSlGgVS1toFkdATmCIi1RceXV9lChoBmgJaA9DCHtP5bSnkkPAlIaUUpRoFUuMaBZHQE5gOWjXWe91fZQoaAZoCWgPQwh+NnLdlEZawJSGlFKUaBVLXGgWR0BOZCAc1fmcdX2UKGgGaAloD0MI44qLo/IeaMCUhpRSlGgVS11oFkdATmQqslsxf3V9lChoBmgJaA9DCKYMHNDSkFnAlIaUUpRoFUtwaBZHQE5krBj4Hop1fZQoaAZoCWgPQwhEhlW8Ef9qwJSGlFKUaBVLZ2gWR0BObFX7tRekdX2UKGgGaAloD0MITWn9LQGZW8CUhpRSlGgVS2JoFkdATnMRaouPFXV9lChoBmgJaA9DCIL917lpqFvAlIaUUpRoFUtXaBZHQE574Irvsqt1fZQoaAZoCWgPQwgAcVevohpswJSGlFKUaBVLiGgWR0BOfdnkDIRzdX2UKGgGaAloD0MIHAsKg7L7YsCUhpRSlGgVS2loFkdAToDoSteUp3V9lChoBmgJaA9DCBwj2SPUilPAlIaUUpRoFUtdaBZHQE6DUQ04zad1fZQoaAZoCWgPQwicMGE0KzdKwJSGlFKUaBVLjGgWR0BOiCyIHkcTdX2UKGgGaAloD0MI8GskCUIQYsCUhpRSlGgVS1loFkdATofMMZxaPnV9lChoBmgJaA9DCEW94NOcAE7AlIaUUpRoFUtEaBZHQE6J5IH1OCZ1fZQoaAZoCWgPQwg3wqIiTgp0wJSGlFKUaBVLfGgWR0BOjCIk7fYSdX2UKGgGaAloD0MIYMyWrIpUXsCUhpRSlGgVS0JoFkdATpm2y9mHxnV9lChoBmgJaA9DCCgn2lVIWF/AlIaUUpRoFUtTaBZHQE6cznA6+391fZQoaAZoCWgPQwiFmbZ/JfxxwJSGlFKUaBVLWmgWR0BOnaab4Ju3dX2UKGgGaAloD0MIlSnmIOg+XsCUhpRSlGgVS4BoFkdATqByhi9ZinV9lChoBmgJaA9DCCklBKvqVVnAlIaUUpRoFUtaaBZHQE6iFFDv3Jx1fZQoaAZoCWgPQwgHXFfMCOcyQJSGlFKUaBVLX2gWR0BOpLYwqRU4dX2UKGgGaAloD0MIUkSGVbwDWcCUhpRSlGgVS2xoFkdATqmvjfek6HV9lChoBmgJaA9DCJbLRuf8WkXAlIaUUpRoFUtLaBZHQE6uptJnQIF1fZQoaAZoCWgPQwiNDkjCvoJVwJSGlFKUaBVLRGgWR0BOtTy8SPELdX2UKGgGaAloD0MI9Kj4vyPgUcCUhpRSlGgVS05oFkdATrZ28qWkanV9lChoBmgJaA9DCEAUzJiCYVrAlIaUUpRoFUteaBZHQE69SYw7DEZ1fZQoaAZoCWgPQwgSF4BG6dxmwJSGlFKUaBVLdmgWR0BOw24mTkhidX2UKGgGaAloD0MIAkaXN4cRUMCUhpRSlGgVS1xoFkdATsQnBtUGV3V9lChoBmgJaA9DCHUDBd7JQVTAlIaUUpRoFUtEaBZHQE7HZ4fOlft1fZQoaAZoCWgPQwhJumbyzQJXwJSGlFKUaBVLQWgWR0BOyITfzjFRdX2UKGgGaAloD0MIgosVNVgEd8CUhpRSlGgVS3NoFkdATs5ZjhDPW3V9lChoBmgJaA9DCO1HisiwoVXAlIaUUpRoFUs4aBZHQE7Pisny/bl1fZQoaAZoCWgPQwh5dY4B2R1HwJSGlFKUaBVLQWgWR0BO0Dzyz5XVdX2UKGgGaAloD0MI3lZ6bTbqNsCUhpRSlGgVS3poFkdATthVfeDWb3V9lChoBmgJaA9DCDEJF/IIJVXAlIaUUpRoFUtAaBZHQE7Zollbu+h1fZQoaAZoCWgPQwgcl3FTAyBXwJSGlFKUaBVLgmgWR0BO4W/JvHcUdX2UKGgGaAloD0MIPpXTnpJCV8CUhpRSlGgVS2doFkdATuHtY0VJtnV9lChoBmgJaA9DCDikUYGTZGHAlIaUUpRoFUtlaBZHQE7kyZa3Zwp1fZQoaAZoCWgPQwg7G/LPDAJbwJSGlFKUaBVLTmgWR0BO6WYOUdJbdX2UKGgGaAloD0MICwqDMo38VcCUhpRSlGgVS0ZoFkdATus+s5n14HV9lChoBmgJaA9DCE4LXvQVyFbAlIaUUpRoFUtOaBZHQE717EYO2Ap1fZQoaAZoCWgPQwiY9s391VtbwJSGlFKUaBVLSGgWR0BO9tM495hSdX2UKGgGaAloD0MIqaPjamTnRMCUhpRSlGgVSz9oFkdATvgT238XN3V9lChoBmgJaA9DCH4CKEZWnnbAlIaUUpRoFUuJaBZHQE76LtNSIgx1ZS4="
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 16,
-    "n_steps": 1024,
+    "_n_updates": 1956,
+    "n_steps": 128,
     "gamma": 0.999,
     "gae_lambda": 0.98,
     "ent_coef": 0.01,
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
-    "batch_size": 64,
+    "batch_size": 256,
     "n_epochs": 4,
     "clip_range": {
         ":type:": "<class 'function'>",

ppo-LunarLander-rc/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27f023e4e72178287649a164a29ff47d6703c4a77d4d8a9dddec46448fee4cc6
+oid sha256:94cd696415c235b4e988fdd136b045d463a6ad81534e82e998628804dcf87870
 size 84829

ppo-LunarLander-rc/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:25a66f5ab0d9bf25cde229ceba05f10e97a03967179d4f7e66feb0877d8a2e94
+oid sha256:fc126c429046c7c77a861915f2ea3f3e8c1b59bfe4b30ad12654ec899f891e6d
 size 43201

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d56a6b765667c393bd34bbe8db406b6e87dc6342536010fd2562767bcc69038
-size 247073
+oid sha256:f1149d2261c0485da9fa112dc8fd64ce00a694ab9c9a99c312c3caf820387b41
+size 256388

results.json

@@ -1 +1 @@
-{"mean_reward": -243.9319556016795, "std_reward": 20.816588593272343, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-04T15:39:51.302289"}
+{"mean_reward": 97.76356094696891, "std_reward": 143.99073029124537, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-04T16:23:35.364421"}