cyoon1729/Policy-Gradient-Methods

This repository has been archived on 08/Jun/2020
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cyoon1729/Policy-Gradient-Methods

cyoon1729

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

RLcycle

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

deep-Q-networks

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

Jupyter Notebook

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

optra

Operational Transformation in Haskell