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269 行
5.2 KiB
269 行
5.2 KiB
default:
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trainer: sac
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batch_size: 128
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buffer_size: 50000
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buffer_init_steps: 0
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hidden_units: 128
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init_entcoef: 1.0
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learning_rate: 3.0e-4
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learning_rate_schedule: constant
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max_steps: 5.0e4
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memory_size: 256
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normalize: false
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num_update: 1
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train_interval: 1
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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: 1000
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tau: 0.005
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use_recurrent: false
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vis_encode_type: simple
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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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FoodCollectorLearning:
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normalize: false
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batch_size: 256
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buffer_size: 500000
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max_steps: 1.0e5
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init_entcoef: 0.05
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train_interval: 1
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BouncerLearning:
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normalize: true
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beta: 0.0
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max_steps: 5.0e5
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num_layers: 2
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hidden_units: 64
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summary_freq: 1000
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PushBlockLearning:
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max_steps: 5.0e4
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init_entcoef: 0.05
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beta: 1.0e-2
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 64
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num_layers: 2
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SmallWallJumpLearning:
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max_steps: 1.0e6
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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init_entcoef: 0.1
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num_layers: 2
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normalize: false
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BigWallJumpLearning:
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max_steps: 1.0e6
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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num_layers: 2
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init_entcoef: 0.1
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normalize: false
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StrikerLearning:
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max_steps: 5.0e5
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learning_rate: 1e-3
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beta: 1.0e-2
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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init_entcoef: 0.1
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num_layers: 2
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normalize: false
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GoalieLearning:
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max_steps: 5.0e5
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learning_rate: 1e-3
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beta: 1.0e-2
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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init_entcoef: 0.1
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num_layers: 2
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normalize: false
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PyramidsLearning:
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summary_freq: 2000
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time_horizon: 128
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batch_size: 128
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buffer_init_steps: 10000
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buffer_size: 500000
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hidden_units: 256
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num_layers: 2
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init_entcoef: 0.01
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max_steps: 5.0e5
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sequence_length: 16
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tau: 0.01
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use_recurrent: false
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reward_signals:
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extrinsic:
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strength: 2.0
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gamma: 0.99
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gail:
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strength: 0.02
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gamma: 0.99
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encoding_size: 128
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use_actions: true
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demo_path: demos/ExpertPyramid.demo
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VisualPyramidsLearning:
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time_horizon: 128
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batch_size: 64
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hidden_units: 256
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buffer_init_steps: 1000
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num_layers: 1
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beta: 1.0e-2
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max_steps: 5.0e5
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buffer_size: 500000
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init_entcoef: 0.01
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tau: 0.01
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reward_signals:
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extrinsic:
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strength: 2.0
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gamma: 0.99
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gail:
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strength: 0.02
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gamma: 0.99
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encoding_size: 128
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use_actions: true
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demo_path: demos/ExpertPyramid.demo
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3DBallLearning:
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normalize: true
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batch_size: 64
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buffer_size: 12000
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summary_freq: 1000
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time_horizon: 1000
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hidden_units: 64
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init_entcoef: 0.5
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3DBallHardLearning:
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normalize: true
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batch_size: 256
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summary_freq: 1000
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time_horizon: 1000
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TennisLearning:
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buffer_size: 500000
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normalize: true
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max_steps: 2e5
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CrawlerStaticLearning:
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normalize: true
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time_horizon: 1000
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batch_size: 256
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train_interval: 3
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buffer_size: 500000
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buffer_init_steps: 2000
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max_steps: 5e5
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summary_freq: 3000
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init_entcoef: 1.0
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num_layers: 3
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hidden_units: 512
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CrawlerDynamicLearning:
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normalize: true
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time_horizon: 1000
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batch_size: 256
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buffer_size: 500000
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summary_freq: 3000
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train_interval: 3
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num_layers: 3
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max_steps: 1e6
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hidden_units: 512
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WalkerLearning:
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normalize: true
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time_horizon: 1000
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batch_size: 256
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buffer_size: 500000
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max_steps: 2e6
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summary_freq: 3000
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num_layers: 3
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train_interval: 3
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hidden_units: 512
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.995
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ReacherLearning:
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normalize: true
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time_horizon: 1000
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batch_size: 128
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buffer_size: 500000
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max_steps: 2e5
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summary_freq: 3000
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HallwayLearning:
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use_recurrent: true
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sequence_length: 32
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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: 0.0
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init_entcoef: 0.1
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max_steps: 5.0e5
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summary_freq: 1000
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time_horizon: 64
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use_recurrent: true
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VisualHallwayLearning:
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use_recurrent: true
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sequence_length: 32
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num_layers: 1
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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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gamma: 0.99
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batch_size: 64
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max_steps: 5.0e5
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summary_freq: 1000
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time_horizon: 64
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use_recurrent: true
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VisualPushBlockLearning:
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use_recurrent: true
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sequence_length: 32
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num_layers: 1
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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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gamma: 0.99
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buffer_size: 1024
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batch_size: 64
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max_steps: 5.0e5
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summary_freq: 1000
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time_horizon: 64
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GridWorldLearning:
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batch_size: 128
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normalize: false
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num_layers: 1
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hidden_units: 128
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init_entcoef: 0.01
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buffer_size: 50000
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max_steps: 5.0e5
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summary_freq: 2000
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time_horizon: 5
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.9
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BasicLearning:
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batch_size: 64
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normalize: false
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num_layers: 2
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init_entcoef: 0.01
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hidden_units: 20
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max_steps: 5.0e5
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summary_freq: 2000
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time_horizon: 10
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