| tags: | |
| - LunarLander-v2 | |
| - ppo | |
| - cleanrl | |
| - deep-rl-course | |
| - unit-8 | |
| - reinforcement-learning | |
| library_name: cleanrl | |
| pipeline_tag: reinforcement-learning | |
| model-index: | |
| - name: cleanrl-LunarLander-v2 | |
| results: | |
| - task: | |
| name: reinforcement-learning | |
| type: reinforcement-learning | |
| dataset: | |
| name: LunarLander-v2 | |
| type: LunarLander-v2 | |
| metrics: | |
| - name: mean_reward | |
| type: mean_reward | |
| value: 240.5 +/- 15.2 | |
| # CleanRL PPO Agent playing LunarLander-v2 | |
| This is a trained PPO agent playing LunarLander-v2 using CleanRL for Unit 8 Part 1. | |
| - **Mean Reward**: 240.5 +/- 15.2 | |
| - **Result (mean - std)**: 225.30 | |