Reinforcement Learning工具箱toolbox

These links point to some interesting libraries/projects/repositories for RL algorithms that also include some environments:

• RLLab implements in python very relevant algorithms like Trust Region Policy Optimization (TRPO) and Deep Deterministc Policy Gradient (DDPG) algorithms, Cross-Entropy Method (CEM), Covariance Matrix Adaptation - Evolutionary Strategy (CMA-ES)… and some others.
• Keras-RL implements in python Deep Q-learning (DQN), Double DQN (which removes the bias from max operator in Q-learning), DDPG, Continuous DQN (CDQN or NAF) and CEM.
• BURLAP is Brown University RL and Planning Java library that implements MDP, stochastic games and POMDP and classic and more advance planning algorithms (from A* to Upper Confidence Tree), some standard RL algorithms (from Q-learning to Actor-Critic) and some algorithms for linear value function approximation (Least Squares Policy Iteration, Fitted Value Iteration) and some interesting feature basis functions (tile coding, RBF and Fourier)… among others.
• PyBrain is a general python library for ML that implements classic RL algorithms (Q-Learning and SARSA) and more advance ones (e.g., Neural Fitted Q-iteration and Natural Actor-Critic). It also include a number of black-box policy optimization methods (e.g., CMA-ES, genetic algorithms, etc.).
• Matlab code for book by Richard S. Sutton and Andrew G. Barto.
• ApproxRL: Matlab code for book by Busoniu, Babuska, De Schutter and Ernst.
• PILCO policy search framework using Bayesian optimization.
• Java code for Off-Policy Actor Critic.
• RLPy: linear value function approximation in Python.

Here there are some collections of standard and state-of-the-art environments:

• OpenAI Universe
• OpenAI Gym
• Project Malmo - Microsoft Research
• DeepMind Lab

reinforcement learning toolkit - a python implementation of RL by Sutton

http://rlai.cs.ualberta.ca/RLAI/RLtoolkit/RLtoolkit1.0.html

reinforcement learning software and stuff

http://www.cs.ualberta.ca/~sutton/software.html

RL-glue

http://glue.rl-community.org/wiki/RL-Glue_Core

PyBrain - a modular Machine Learning Library for Python

http://www.pybrain.org/

Bayesian reinforcement learning

http://www.research.rutgers.edu/~cmansley/fall08/cs500.html