| { | |
| "alg_class": { | |
| "$class": "rlkit.torch.torch_rl_algorithm.OfflineTorchBatchRLAlgorithm" | |
| }, | |
| "algorithm": "sarsa-iqn", | |
| "algorithm_kwargs": { | |
| "batch_size": 256, | |
| "max_path_length": 0, | |
| "num_epochs": 0, | |
| "num_eval_steps_per_epoch": 0, | |
| "num_trains_per_train_loop": 1000, | |
| "start_epoch": -400 | |
| }, | |
| "d4rl": true, | |
| "env_id": "halfcheetah-medium-expert-v2", | |
| "normalize_env": true, | |
| "path_loader_kwargs": {}, | |
| "pipeline": { | |
| "$class": "rlkit.launchers.pipeline.<Pipeline SarsaIQNPipeline>:\noffline_init,\ncreate_eval_env,\ncreate_dataset_next_actions,\noptionally_normalize_dataset,\ncreate_q_iqn,\ncreate_policy,\ncreate_trainer,\ncreate_eval_policy,\ncreate_eval_path_collector,\ncreate_replay_buffer,\ncreate_algorithm,\nload_demos,\ntrain" | |
| }, | |
| "policy_class": { | |
| "$class": "rlkit.policies.gaussian_policy.TanhGaussianPolicy" | |
| }, | |
| "policy_kwargs": { | |
| "hidden_sizes": [ | |
| 1024, | |
| 1024 | |
| ] | |
| }, | |
| "qf_class": { | |
| "$class": "rlkit.torch.networks.mlp.QuantileMlp" | |
| }, | |
| "qf_kwargs": { | |
| "embedding_size": 64, | |
| "hidden_sizes": [ | |
| 256, | |
| 256, | |
| 256 | |
| ], | |
| "num_quantiles": 8 | |
| }, | |
| "replay_buffer_class": { | |
| "$class": "rlkit.data_management.env_replay_buffer.EnvReplayBufferNextAction" | |
| }, | |
| "replay_buffer_size": 2000000, | |
| "rollout_fn": { | |
| "$function": "rlkit.samplers.rollout_functions.rollout" | |
| }, | |
| "seed": 0, | |
| "snapshot_gap": 50, | |
| "snapshot_mode": "gap_and_last", | |
| "trainer_class": { | |
| "$class": "rlkit.torch.torch_rl_algorithm.TorchTrainer" | |
| }, | |
| "trainer_cls": { | |
| "$class": "rlkit.torch.algorithms.sarsa_iqn.SarsaIQNTrainer" | |
| }, | |
| "trainer_kwargs": { | |
| "discount": 0.99, | |
| "num_quantiles": 8, | |
| "policy_lr": 0.0003, | |
| "qf_lr": 0.0003, | |
| "reward_scale": 1, | |
| "soft_target_tau": 0.005, | |
| "target_update_period": 1 | |
| }, | |
| "version": "normalize-env" | |
| } |