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https://github.com/makaveli10/reinforcementlearning

Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
https://github.com/makaveli10/reinforcementlearning

david-silver-course double-dqn dqn dqn-pytorch dynamic-programming experience-replay machine-learning model-free-rl monte-carlo-methods n-step-bootstrapping n-step-sarsa prioritized-experience-replay q-learning q-learning-vs-sarsa random-walk reinforcement-learning sarsa sutton-gambler sutton-gridworld td-learning

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Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

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README

          

### Learning RL

This repository is highly inspired from [Denny Britz RL repo](https://github.com/dennybritz/reinforcement-learning) contains
solutions to exercise from the book and from the David Silver's RL course. Link to both resources:

- [David Silver's Reinforcement Learning Course](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
- [Reinforcement Learning: An Introduction (2nd Edition)](http://incompleteideas.net/book/RLbook2018.pdf)
- [Lecture Slides](https://www.davidsilver.uk/teaching/)