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README.md

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+---
+library_name: mbrl-lib
+tags:
+- mbrl-continuous-cartpole
+- deep-reinforcement-learning
+- reinforcement-learning
+- mbrl-lib
+---
+
+# **OneDTransitionRewardModel** Agent playing **mbrl-continuous-cartpole**
+This is a trained model of a **OneDTransitionRewardModel** agent playing **mbrl-continuous-cartpole**
+using [MBRL-Lib](https://github.com/facebookresearch/mbrl-lib).
+
+## Usage (with MBRL-Lib)
+TODO: Add your code
+```python
+from mbrl import ...
+...
+```

config.json

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+dynamics_model:
+  _target_: mbrl.models.GaussianMLP
+  num_layers: 3
+  ensemble_size: 5
+  device: cpu
+  hid_size: 200
+  in_size: 5
+  out_size: 4
+  deterministic: false
+  propagation_method: fixed_model
+  activation_fn_cfg:
+    _target_: torch.nn.LeakyReLU
+    negative_slope: 0.01
+algorithm:
+  learned_rewards: false
+  target_is_delta: true
+  normalize: true
+overrides:
+  model_batch_size: 32
+  validation_ratio: 0.05

env_stats.pickle

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+size 238

model.pth

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