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README.md

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+---
+tags:
+- Pixelcopter
+- reinforce
+- reinforcement-learning
+- custom-implementation
+- deep-rl-class
+model-index:
+- name: Reinforce-PixelCopter
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Pixelcopter
+      type: Pixelcopter
+    metrics:
+    - type: mean_reward
+      value: 15.00 +/- 13.20
+      name: mean_reward
+      verified: false
+---
+# **REINFORCE** Agent playing **Pixelcopter**
+
+Mean reward: 15.00 +/- 13.20
+Mean episode length: 125.7 +/- 75.9

hyperparameters.json

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+{
+  "h_size": 128,
+  "lr": 0.003,
+  "gamma": 0.99,
+  "max_t": 5000,
+  "n_training_episodes": 20000,
+  "print_every": 1000,
+  "obs_scale": 55.0,
+  "clip_obs": 10.0,
+  "use_entropy_bonus": false,
+  "entropy_coef": 0.01
+}

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:af30224aad8da0fdde8fdbcffe2ea45a9bc9baeda340483f959164f28f9fc9ca
+size 8265

results.json

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+{
+  "env_id": "Pixelcopter",
+  "mean_reward": 15.0,
+  "std_reward": 13.196969349058897,
+  "mean_episode_length": 125.7,
+  "std_episode_length": 75.91659897545463,
+  "n_evaluation_episodes": 50,
+  "eval_datetime": "2026-02-17T01:22:11.133074"
+}