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rl_course_vizdoom_health_gathering_supreme

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rl_course_vizdoom_health_gathering_supreme
File size: 4,127 Bytes 
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{
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  "algo": "APPO",
  "env": "doom_health_gathering_supreme",
  "experiment": "conv_resnet",
  "train_dir": "/home/raghu/DL/topics/RL/unit8B-AsyncPPO-SampleFactory/train_dir",
  "restart_behavior": "resume",
  "device": "gpu",
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  "num_policies": 1,
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  "serial_mode": false,
  "batched_sampling": false,
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  "worker_num_splits": 2,
  "policy_workers_per_policy": 1,
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  "value_loss_coeff": 0.5,
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  "gae_lambda": 0.95,
  "ppo_clip_ratio": 0.1,
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  "with_vtrace": false,
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  "load_checkpoint_kind": "latest",
  "save_milestones_sec": -1,
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  "save_best_metric": "reward",
  "save_best_after": 100000,
  "benchmark": false,
  "encoder_mlp_layers": [
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  ],
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  "encoder_conv_mlp_layers": [
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  "use_rnn": true,
  "rnn_size": 512,
  "rnn_type": "gru",
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  "res_w": 128,
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  "wide_aspect_ratio": false,
  "eval_env_frameskip": 1,
  "fps": 35,
  "command_line": "--env=doom_health_gathering_supreme --experiment=conv_resnet --seed=200 --num_workers=8 --num_envs_per_worker=4 --batch_size=1024 --encoder_conv_architecture=resnet_impala --train_for_env_steps=5000000",
  "cli_args": {
    "env": "doom_health_gathering_supreme",
    "experiment": "conv_resnet",
    "seed": 200,
    "num_workers": 8,
    "num_envs_per_worker": 4,
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  "git_hash": "unknown",
  "git_repo_name": "not a git repository"
}