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README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
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  type: FetchPickAndPlaceDense-v2
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  metrics:
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  - type: mean_reward
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- value: -8.62 +/- 3.87
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  name: mean_reward
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  verified: false
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  ---
 
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  type: FetchPickAndPlaceDense-v2
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  metrics:
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  - type: mean_reward
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+ value: -9.74 +/- 5.70
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  name: mean_reward
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  verified: false
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  ---
config.json CHANGED
@@ -1 +1 @@
1
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rate, to pass to the optimizer\n :param n_critics: Number of critic networks to create.\n :param share_features_extractor: Whether to share or not the features extractor\n between the actor and the critic (this saves computation time)\n ", "__init__": "<function MultiInputPolicy.__init__ at 0x7e4a39f4c8b0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e4a3a13b280>"}, "verbose": 0, "policy_kwargs": {}, "num_timesteps": 30000, "_total_timesteps": 30000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1718748823234506629, "learning_rate": 0.001, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": 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  "bounded_below": "[ True True True True]",
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  "bounded_above": "[ True True True True]",
@@ -75,28 +75,29 @@
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  },
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  "n_envs": 1,
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- "batch_size": 100,
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- "gradient_steps": -1,
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  "__doc__": "\n Dict Replay buffer used in off-policy algorithms like SAC/TD3.\n Extends the ReplayBuffer to use dictionary observations\n\n :param buffer_size: Max number of element in the buffer\n :param observation_space: Observation space\n :param action_space: Action space\n :param device: PyTorch device\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n Disabled for now (see https://github.com/DLR-RM/stable-baselines3/pull/243#discussion_r531535702)\n :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n separately and treat the task as infinite horizon task.\n https://github.com/DLR-RM/stable-baselines3/issues/284\n ",
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  "__abstractmethods__": "frozenset()",
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  },
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  "policy_delay": 2,
@@ -104,7 +105,7 @@
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  "target_policy_noise": 0.2,
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  "lr_schedule": {
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  },
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  "critic_batch_norm_stats": [],
 
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