| behaviors: | |
| 3DBall: | |
| trainer_type: a2c | |
| hyperparameters: | |
| batch_size: 1000 | |
| buffer_size: 1000 | |
| learning_rate: 0.0003 | |
| beta: 0.001 | |
| lambd: 0.99 | |
| num_epoch: 1 | |
| 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: 1000 | |