| behaviors: | |
| 3DBall: | |
| trainer_type: ppo | |
| hyperparameters: | |
| batch_size: 64 | |
| buffer_size: 12000 | |
| learning_rate: 0.0003 | |
| beta: 0.001 | |
| epsilon: 0.2 | |
| lambd: 0.99 | |
| num_epoch: 3 | |
| learning_rate_schedule: linear | |
| network_settings: | |
| normalize: true | |
| hidden_units: 128 | |
| num_layers: 2 | |
| vis_encode_type: simple | |
| reward_signals: | |
| extrinsic: | |
| gamma: 0.99 | |
| strength: 1.0 | |
| keep_checkpoints: 5 | |
| max_steps: 500000 | |
| time_horizon: 1000 | |
| summary_freq: 12000 | |
| environment_parameters: | |
| mass: | |
| sampler_type: uniform | |
| sampler_parameters: | |
| min_value: 0.5 | |
| max_value: 10 | |
| scale: | |
| sampler_type: uniform | |
| sampler_parameters: | |
| min_value: 0.75 | |
| max_value: 3 | |