| tags: | |
| - Pixelcopter-PLE-v0 | |
| - reinforce | |
| - reinforcement-learning | |
| - custom-implementation | |
| - deep-rl-class | |
| 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: 42.70 +/- 24.24 | |
| name: mean_reward | |
| verified: false | |
| # **Reinforce** Agent playing **Pixelcopter-PLE-v0** | |
| This is a trained model of a **Reinforce** agent playiscores = reinforce(pixelcopter_policy, | |
| pixelcopter_optimizer, | |
| pixelcopter_hyperparameters["n_training_episodes"], | |
| pixelcopter_hyperparameters["max_t"], | |
| pixelcopter_hyperparameters["gamma"], | |
| 1000)ng **Pixelcopter-PLE-v0** . | |
| To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction | |