Repo for the Deep Reinforcement Learning Nanodegree program

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

Guided Policy Search

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

A PyTorch library for building deep reinforcement learning agents.

A curated list of Monte Carlo tree search papers with implementations.

PyTorch C++ Reinforcement Learning

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Reinforcement learning with A* and a deep heuristic

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Framework for Multi-Agent Deep Reinforcement Learning in Poker

A simple framework for experimenting with Reinforcement Learning in Python.

Trading environnement for RL agents, backtesting and training.

Scalable Implementation of Deep CFR and Single Deep CFR

Highly Modular and Scalable Reinforcement Learning

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

🤖 Implements of Reinforcement Learning algorithms.

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

강화학습에 대한 기본적인 알고리즘 구현

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

In this repository, I will publish my notes for GaTech's Machine Learning course CS7621.

Model-based Reinforcement Learning Framework

TensorSwarm: A framework for reinforcement learning of robot swarms.

Combining deep learning and reinforcement learning.

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)