Upload 12 files
Browse files- Agent.onnx +3 -0
- Agent/Agent-1200912.onnx +3 -0
- Agent/Agent-1200912.pt +3 -0
- Agent/Agent-499826.onnx +3 -0
- Agent/Agent-499826.pt +3 -0
- Agent/Agent-999960.onnx +3 -0
- Agent/Agent-999960.pt +3 -0
- Agent/checkpoint.pt +3 -0
- Agent/events.out.tfevents.1717644297.RICHARD.39688.0 +3 -0
- configuration.yaml +107 -0
- run_logs/timers.json +575 -0
- run_logs/training_status.json +53 -0
Agent.onnx
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version https://git-lfs.github.com/spec/v1
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Agent/Agent-1200912.onnx
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version https://git-lfs.github.com/spec/v1
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Agent/Agent-1200912.pt
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version https://git-lfs.github.com/spec/v1
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Agent/Agent-499826.onnx
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version https://git-lfs.github.com/spec/v1
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Agent/Agent-499826.pt
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version https://git-lfs.github.com/spec/v1
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Agent/Agent-999960.onnx
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version https://git-lfs.github.com/spec/v1
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Agent/Agent-999960.pt
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version https://git-lfs.github.com/spec/v1
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Agent/checkpoint.pt
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version https://git-lfs.github.com/spec/v1
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Agent/events.out.tfevents.1717644297.RICHARD.39688.0
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version https://git-lfs.github.com/spec/v1
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configuration.yaml
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default_settings: null
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behaviors:
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Agent:
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trainer_type: ppo
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hyperparameters:
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batch_size: 1024
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buffer_size: 8192
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learning_rate: 0.0003
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beta: 0.005
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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shared_critic: false
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learning_rate_schedule: linear
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beta_schedule: linear
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epsilon_schedule: linear
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network_settings:
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normalize: false
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hidden_units: 128
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num_layers: 2
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vis_encode_type: resnet
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memory: null
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goal_conditioning_type: hyper
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deterministic: false
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reward_signals:
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curiosity:
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gamma: 0.99
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strength: 0.1
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network_settings:
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normalize: false
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hidden_units: 128
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num_layers: 2
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vis_encode_type: resnet
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memory: null
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goal_conditioning_type: hyper
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deterministic: false
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learning_rate: 0.0003
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encoding_size: 256
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extrinsic:
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gamma: 0.99
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strength: 0.9
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network_settings:
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normalize: false
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hidden_units: 128
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num_layers: 2
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vis_encode_type: resnet
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memory: null
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goal_conditioning_type: hyper
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deterministic: false
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init_path: null
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keep_checkpoints: 5
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checkpoint_interval: 500000
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max_steps: 1200000
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time_horizon: 8192
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summary_freq: 6000
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threaded: true
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self_play: null
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behavioral_cloning: null
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env_settings:
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env_path: c:/users/pdsie/documents/hivex/src/hivex/training/baseline/ml_agents/dev_environments/Hivex_DroneBasedReforestation_win
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env_args: null
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base_port: 5007
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num_envs: 1
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num_areas: 1
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seed: 5000
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max_lifetime_restarts: 10
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restarts_rate_limit_n: 1
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restarts_rate_limit_period_s: 60
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engine_settings:
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width: 84
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height: 84
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quality_level: 5
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time_scale: 20
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target_frame_rate: -1
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capture_frame_rate: 60
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no_graphics: true
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environment_parameters:
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difficulty:
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curriculum:
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- value:
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sampler_type: constant
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sampler_parameters:
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seed: 5000
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value: 5
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name: difficulty
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completion_criteria: null
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task:
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curriculum:
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- value:
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sampler_type: constant
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sampler_parameters:
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seed: 5001
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value: 3
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name: task
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completion_criteria: null
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checkpoint_settings:
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run_id: DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_3_run_id_2_train
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initialize_from: null
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load_model: false
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resume: false
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force: false
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train_model: false
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inference: false
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results_dir: results
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torch_settings:
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device: null
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debug: false
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run_logs/timers.json
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{
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"name": "root",
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"gauges": {
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"Agent.Policy.Entropy.mean": {
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},
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"Agent.DroneBasedReforestation.TreeDropCount.mean": {
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},
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},
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