benson V5 har cooket
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34
MLAgents/config/sac/Pyramids.yaml
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34
MLAgents/config/sac/Pyramids.yaml
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behaviors:
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Pyramids:
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trainer_type: sac
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hyperparameters:
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learning_rate: 0.0003
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learning_rate_schedule: constant
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batch_size: 128
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buffer_size: 2000000
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buffer_init_steps: 1000
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tau: 0.01
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steps_per_update: 10.0
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save_replay_buffer: false
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init_entcoef: 0.01
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reward_signal_steps_per_update: 10.0
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network_settings:
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normalize: false
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hidden_units: 512
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num_layers: 3
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vis_encode_type: simple
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reward_signals:
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extrinsic:
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gamma: 0.995
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strength: 2.0
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gail:
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gamma: 0.99
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strength: 0.01
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learning_rate: 0.0003
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use_actions: true
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use_vail: false
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demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
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keep_checkpoints: 5
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max_steps: 3000000
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time_horizon: 128
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summary_freq: 30000
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