Model commit: PandaPickAndPlaceDenseSAC-n5

PandaPickAndPlaceDenseSAC-n5.zip

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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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+    "batch_norm_stats_target": []
+}

PandaPickAndPlaceDenseSAC-n5/ent_coef_optimizer.pth

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PandaPickAndPlaceDenseSAC-n5/policy.pth

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PandaPickAndPlaceDenseSAC-n5/pytorch_variables.pth

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PandaPickAndPlaceDenseSAC-n5/system_info.txt

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+- OS: Linux-5.19.0-32-generic-x86_64-with-glibc2.35 # 33~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Jan 30 17:03:34 UTC 2
+- Python: 3.9.16
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.1+cu117
+- GPU Enabled: True
+- Numpy: 1.21.6
+- Gym: 0.21.0

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaPickAndPlaceDense-v2
     metrics:
     - type: mean_reward
-      value: -10.03 +/- 2.69
+      value: -9.01 +/- 3.23
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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results.json

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