Chris Yoon

deep-Q-networks. Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

RLcycle. A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Policy-Gradient-Methods. Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

distributedRL. A framework for easy prototyping of distributed reinforcement learning algorithms

Multi-agent-reinforcement-learning. Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG

systems-reading-group.

cyoon1729.

StringMatch. Parallel Exact String Matching in Haskell