| !!python/object/apply:collections.OrderedDict |
| - - - batch_size |
| - 256 |
| - - buffer_size |
| - 1000000 |
| - - ent_coef |
| - auto |
| - - env_wrapper |
| - sb3_contrib.common.wrappers.TimeFeatureWrapper |
| - - gamma |
| - 0.95 |
| - - learning_rate |
| - 0.001 |
| - - learning_starts |
| - 1000 |
| - - n_timesteps |
| - 20000.0 |
| - - normalize |
| - true |
| - - policy |
| - MultiInputPolicy |
| - - policy_kwargs |
| - dict(net_arch=[64, 64], n_critics=1) |
| - - replay_buffer_class |
| - HerReplayBuffer |
| - - replay_buffer_kwargs |
| - dict( online_sampling=True, goal_selection_strategy='future', n_sampled_goal=4 |
| ) |
|
|
