| tags: | |
| - Pixelcopter-PLE-v0 | |
| - reinforce | |
| - policy-gradient | |
| - reinforcement-learning | |
| - pixelcopter | |
| - custom-implementation | |
| model-index: | |
| - name: Reinforce-Pixelcopter-PLE-v0 | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: Pixelcopter-PLE-v0 | |
| type: Pixelcopter-PLE-v0 | |
| metrics: | |
| - type: mean_reward | |
| value: 48.95 +/- 42.79 | |
| name: mean_reward | |
| verified: false | |
| # **REINFORCE** Agent on **Pixelcopter-PLE-v0** | |
| This repository contains a **REINFORCE (policy gradient)** agent trained on **Pixelcopter-PLE-v0**. | |
| ## Evaluation | |
| - Mean reward: **48.95 ± 42.79** | |
| - Episodes: 20 | |
| ## Algorithm | |
| - Monte Carlo Policy Gradient | |
| - Stochastic policy | |
| - PyTorch implementation | |