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hivex-AWS-PPO-baseline-task-0-difficulty-8

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-aerial-wildfire-suppression
multi-agent-reinforcement-learning
Eval Results
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  15. run_logs/training_status.json +62 -0
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+ ---
2
+ library_name: hivex
3
+ original_train_name: AerialWildfireSuppression_difficulty_8_task_0_run_id_2_train
4
+ tags:
5
+ - hivex
6
+ - hivex-aerial-wildfire-suppression
7
+ - reinforcement-learning
8
+ - multi-agent-reinforcement-learning
9
+ model-index:
10
+ - name: hivex-AWS-PPO-baseline-task-0-difficulty-8
11
+ results:
12
+ - task:
13
+ type: main-task
14
+ name: main_task
15
+ task-id: 0
16
+ difficulty-id: 8
17
+ dataset:
18
+ name: hivex-aerial-wildfire-suppression
19
+ type: hivex-aerial-wildfire-suppression
20
+ metrics:
21
+ - type: crash_count
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+ value: 0.10833333656191826 +/- 0.14584900099920892
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+ name: Crash Count
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+ verified: true
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+ - type: extinguishing_trees
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+ value: 23.324999898672104 +/- 55.08031019150775
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+ name: Extinguishing Trees
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+ verified: true
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+ - type: extinguishing_trees_reward
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+ value: 116.62500007152558 +/- 275.40155086604756
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+ name: Extinguishing Trees Reward
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+ verified: true
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+ - type: fire_out
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+ value: 0.22500000149011612 +/- 0.3638448035924671
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+ name: Fire Out
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+ verified: true
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+ - type: fire_too_close_to_city
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+ value: 0.85 +/- 0.28562028528873973
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+ name: Fire too Close to City
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+ verified: true
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+ - type: preparing_trees
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+ value: 769.4333295822144 +/- 713.797537109146
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+ name: Preparing Trees
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+ verified: true
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+ - type: preparing_trees_reward
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+ value: 769.4333295822144 +/- 713.797537109146
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+ name: Preparing Trees Reward
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+ verified: true
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+ - type: water_drop
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+ value: 42.46666691303253 +/- 16.681099284118027
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+ name: Water Drop
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+ verified: true
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+ - type: water_pickup
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+ value: 42.0666668176651 +/- 16.62014604652166
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+ name: Water Pickup
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+ verified: true
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+ - type: cumulative_reward
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+ value: 1093.1966667175293 +/- 733.5777441210589
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+ name: Cumulative Reward
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+ verified: true
61
+ ---
62
+
63
+ This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>0</code> with difficulty <code>8</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>
64
+
65
+ Environment: **Aerial Wildfire Suppression**<br>
66
+ Task: <code>0</code><br>
67
+ Difficulty: <code>8</code><br>
68
+ Algorithm: <code>PPO</code><br>
69
+ Episode Length: <code>3000</code><br>
70
+ Training <code>max_steps</code>: <code>1800000</code><br>
71
+ Testing <code>max_steps</code>: <code>180000</code><br><br>
72
+
73
+ Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>
74
+ Download the [Environment](https://github.com/hivex-research/hivex-environments)
configuration.yaml ADDED
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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: 256
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+ buffer_size: 4096
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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: 256
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+ num_layers: 2
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+ vis_encode_type: simple
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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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+ extrinsic:
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+ gamma: 0.995
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+ strength: 1.0
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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: simple
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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: 1800000
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+ time_horizon: 4096
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+ summary_freq: 9000
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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_AerialWildfireSuppression_win
48
+ env_args: null
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+ base_port: 5009
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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:
66
+ curriculum:
67
+ - value:
68
+ sampler_type: constant
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+ sampler_parameters:
70
+ seed: 5000
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+ value: 8
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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:
79
+ seed: 5001
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+ value: 0
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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: AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_8_task_0_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:
93
+ device: null
94
+ debug: false
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