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129 行
3.1 KiB
129 行
3.1 KiB
default:
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trainer: ppo
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batch_size: 1024
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beta: 5.0e-3
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buffer_size: 10240
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epsilon: 0.2
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hidden_units: 128
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lambd: 0.95
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learning_rate: 3.0e-4
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max_steps: 5.0e5
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memory_size: 256
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normalize: false
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num_epoch: 3
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num_layers: 2
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time_horizon: 64
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sequence_length: 64
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summary_freq: 10000
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use_recurrent: false
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.99
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Pyramids:
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summary_freq: 30000
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time_horizon: 128
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batch_size: 128
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buffer_size: 2048
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hidden_units: 512
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num_layers: 2
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beta: 1.0e-2
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max_steps: 1.0e7
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num_epoch: 3
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behavioral_cloning:
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demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
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strength: 0.5
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steps: 150000
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.99
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curiosity:
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strength: 0.02
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gamma: 0.99
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encoding_size: 256
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gail:
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strength: 0.01
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gamma: 0.99
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encoding_size: 128
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demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
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CrawlerStatic:
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normalize: true
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num_epoch: 3
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time_horizon: 1000
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batch_size: 2024
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buffer_size: 20240
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max_steps: 1e7
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summary_freq: 30000
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num_layers: 3
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hidden_units: 512
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behavioral_cloning:
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demo_path: Project/Assets/ML-Agents/Examples/Crawler/Demos/ExpertCrawlerSta.demo
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strength: 0.5
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steps: 50000
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reward_signals:
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gail:
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strength: 1.0
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gamma: 0.99
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encoding_size: 128
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demo_path: Project/Assets/ML-Agents/Examples/Crawler/Demos/ExpertCrawlerSta.demo
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PushBlock:
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max_steps: 1.5e7
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batch_size: 128
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buffer_size: 2048
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beta: 1.0e-2
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hidden_units: 256
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summary_freq: 60000
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time_horizon: 64
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num_layers: 2
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reward_signals:
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gail:
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strength: 1.0
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gamma: 0.99
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encoding_size: 128
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demo_path: Project/Assets/ML-Agents/Examples/PushBlock/Demos/ExpertPush.demo
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Hallway:
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use_recurrent: true
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sequence_length: 64
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num_layers: 2
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hidden_units: 128
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memory_size: 256
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beta: 1.0e-2
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num_epoch: 3
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buffer_size: 1024
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batch_size: 128
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max_steps: 1.0e7
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summary_freq: 10000
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time_horizon: 64
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.99
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gail:
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strength: 0.1
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gamma: 0.99
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encoding_size: 128
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demo_path: Project/Assets/ML-Agents/Examples/Hallway/Demos/ExpertHallway.demo
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FoodCollector:
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batch_size: 64
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max_steps: 2.0e6
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use_recurrent: false
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hidden_units: 128
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learning_rate: 3.0e-4
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num_layers: 2
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sequence_length: 32
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reward_signals:
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gail:
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strength: 0.1
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gamma: 0.99
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encoding_size: 128
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demo_path: Project/Assets/ML-Agents/Examples/FoodCollector/Demos/ExpertFood.demo
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behavioral_cloning:
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demo_path: Project/Assets/ML-Agents/Examples/FoodCollector/Demos/ExpertFood.demo
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strength: 1.0
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steps: 0
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