Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

qd python library for CAE (currently mostly LS-Dyna)

Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)

A Python Library for next-generation CAE.

Old classic game remake - my first big project

Dyna language implementation in Haxe

this is a webpack-project-template of dyna.

Notes of Reinforcement Learning MOOC by University of Alberta