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# Reinforcement-Implementation | ||
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This project aims to reproduce the results of several model-free RL algorithms in continuous action domain (mujuco environment). | ||
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This projects | ||
* uses pytorch package | ||
* implements every algorithm independently in one file | ||
* is written in simplest style | ||
* tries to follow the original paper and reproduce their results | ||
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My first stage of work is to reproduce this figure in the PPO paper. | ||
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![](docs/ppo_experiments.png) | ||
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- [x] A2C | ||
- [ ] ACER (A2C + Trust Region) | ||
- [ ] CEM | ||
- [x] TRPO (TRPO single path) | ||
- [x] PPO (PPO clip) | ||
- [ ] Vanilla PG, Adaptive |
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