| behaviors: | |
| Kyle: | |
| trainer_type: sac | |
| hyperparameters: | |
| learning_rate: 0.0003 | |
| learning_rate_schedule: linear | |
| batch_size: 1000 | |
| buffer_size: 1000000 | |
| tau: 0.005 | |
| steps_per_update: 30.0 | |
| init_entcoef: 1.0 | |
| reward_signal_steps_per_update: 30.0 | |
| network_settings: | |
| normalize: true | |
| hidden_units: 256 | |
| num_layers: 3 | |
| vis_encode_type: simple | |
| memory: | |
| sequence_length: 1000 | |
| memory_size: 256 | |
| reward_signals: | |
| extrinsic: | |
| gamma: 0.995 | |
| strength: 1.0 | |
| curiosity: | |
| strength: 0.1 | |
| gamma: 0.995 | |
| network_settings: | |
| hidden_units: 256 | |
| learning_rate: 0.0001 | |
| keep_checkpoints: 40 | |
| checkpoint_interval: 500000 | |
| max_steps: 20000000 | |
| time_horizon: 1000 | |
| summary_freq: 10000 | |