RLStuff

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A collection of reinforcement learning algorithm implementations

// repository documentation

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# RLStuff
A collection of me playing around with Reinforcement Learning and other stuff.

## Implemented Algorithms
- Q Learning
- [Deep Q Learning](https://www.nature.com/articles/nature14236)
- [REINFORCE](https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf)
- [REINFORCE with Baseline](https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf)
- [Actor-Critic TD(0)](https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf)
- [Actor-Critic Forward-view TD(λ)](https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf)  
- [Actor-Critic Backward-view TD(λ)](https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf)  
- [Off-Policy Actor Critic](https://arxiv.org/pdf/1205.4839.pdf)
- [Compatible Off-Policy Deterministic Actor-Critic with Q Critic](http://proceedings.mlr.press/v32/silver14.pdf)
- [Deep Deterministic Policy Gradient](https://arxiv.org/pdf/1509.02971.pdf)
- [Proximal Policy Optimization](https://arxiv.org/pdf/1707.06347.pdf)

## Interesting papers
- [Deep Reinforcement Learning that Matters](https://arxiv.org/pdf/1709.06560.pdf)
- [Implemmentation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO](https://openreview.net/attachment?id=r1etN1rtPB&name=original_pdf)
- [What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study](https://arxiv.org/pdf/2006.05990.pdf)

RLStuff

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