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Awesome Reinforcement Learning
A curated list of resources dedicated to reinforcement learning.
https://github.com/aikorea/awesome-rl
We have pages for other topics: awesome-rnn, awesome-deep-vision, awesome-random-forest
Maintainers: Hyunsoo Kim, Jiwon Kim
We are looking for more contributors and maintainers!
Table of Contents
Codes
- Codes for examples and exercises in Richard Sutton and Andrew Barto's Reinforcement Learning: An Introduction
- Python Code
- MATLAB Code
- C/Lisp Code
- Book
- Simulation code for Reinforcement Learning Control Problems
- Pole-Cart Problem
- Q-learning Controller
- MATLAB Environment and GUI for Reinforcement Learning
- Reinforcement Learning Repository - University of Massachusetts, Amherst
- Brown-UMBC Reinforcement Learning and Planning Library (Java)
- Reinforcement Learning in R (MDP, Value Iteration)
- Reinforcement Learning Environment in Python and MATLAB
- RL-Glue (standard interface for RL) and RL-Glue Library
- PyBrain Library - Python-Based Reinforcement learning, Artificial intelligence, and Neural network
- RLPy Framework - Value-Function-Based Reinforcement Learning Framework for Education and Research
- Maja - Machine learning framework for problems in Reinforcement Learning in python
- TeachingBox - Java based Reinforcement Learning framework
- Policy Gradient Reinforcement Learning Toolbox for MATLAB
- PIQLE - Platform Implementing Q-Learning and other RL algorithms
- BeliefBox - Bayesian reinforcement learning library and toolkit
- Deep Q-Learning with Tensor Flow - A deep Q learning demonstration using Google Tensorflow
- Atari - Deep Q-networks and asynchronous agents in Torch
- AgentNet - A python library for deep reinforcement learning and custom recurrent networks using Theano+Lasagne.
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