Model commit: PandaPickAndPlaceSAC-n1

PandaPickAndPlaceSAC-n1.zip

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PandaPickAndPlaceSAC-n1/_stable_baselines3_version

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+    "buffer_size": 300000,
+    "batch_size": 256,
+    "learning_starts": 10000,
+    "tau": 0.005,
+    "gamma": 0.99,
+    "gradient_steps": 1,
+    "optimize_memory_usage": false,
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+        "__module__": "stable_baselines3.common.buffers",
+        "__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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+        "add": "<function DictReplayBuffer.add at 0x7fda299d14c0>",
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+        "__abstractmethods__": "frozenset()",
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+    },
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+    },
+    "ent_coef": "auto",
+    "target_update_interval": 1,
+    "batch_norm_stats": [],
+    "batch_norm_stats_target": []
+}

PandaPickAndPlaceSAC-n1/ent_coef_optimizer.pth

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+size 1507

PandaPickAndPlaceSAC-n1/policy.pth

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+size 1399624

PandaPickAndPlaceSAC-n1/pytorch_variables.pth

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+size 747

PandaPickAndPlaceSAC-n1/system_info.txt

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+- OS: Linux-5.15.0-60-generic-x86_64-with-glibc2.35 # 66-Ubuntu SMP Fri Jan 20 14:29:49 UTC 2023
+- 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

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- PandaPickAndPlaceDense-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: SAC
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: PandaPickAndPlaceDense-v2
+      type: PandaPickAndPlaceDense-v2
+    metrics:
+    - type: mean_reward
+      value: -9.60 +/- 3.16
+      name: mean_reward
+      verified: false
+---
+
+# **SAC** Agent playing **PandaPickAndPlaceDense-v2**
+This is a trained model of a **SAC** agent playing **PandaPickAndPlaceDense-v2**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

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results.json

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