PPO Agent Playing LunarLander-v2
This is a from-scratch PyTorch implementation of PPO trained for Unit 8 Part 1 of the Hugging Face Deep RL Course.
Results
Mean reward: 30.00 +/- 52.96 over 10 evaluation episodes.
Usage
Load model.pt into the Agent class defined in the training script and call
get_action_and_value on an observation tensor.
Evaluation results
- mean_reward on LunarLander-v2self-reported30.00 +/- 52.96