| behaviors: | |
| Pyramids: | |
| trainer_type: ppo | |
| time_horizon: 128 | |
| max_steps: 1.0e7 | |
| hyperparameters: | |
| batch_size: 128 | |
| beta: 0.01 | |
| buffer_size: 2048 | |
| epsilon: 0.2 | |
| lambd: 0.95 | |
| learning_rate: 0.0003 | |
| num_epoch: 3 | |
| network_settings: | |
| num_layers: 2 | |
| normalize: false | |
| hidden_units: 512 | |
| reward_signals: | |
| extrinsic: | |
| strength: 1.0 | |
| gamma: 0.99 | |
| curiosity: | |
| strength: 0.02 | |
| gamma: 0.99 | |
| network_settings: | |
| hidden_units: 256 | |
| gail: | |
| strength: 0.01 | |
| gamma: 0.99 | |
| demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo | |
| behavioral_cloning: | |
| demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo | |
| strength: 0.5 | |
| steps: 150000 | |