Massively Parallel Deep Reinforcement Learning. 🔥

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

PyTorch implementation of deep reinforcement learning algorithms

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

A repository for implementation of deep reinforcement learning lectured at Samsung

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Mirror Descent Policy Optimization

A repository for code of reinforcement learning algorithms with PyTorch

D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.

CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning

Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.

The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.

Deep Reinforcement Learning implementation in Keras of an AI controlling the popular Flappy Bird videogame, using Asynchronous Advantage Actor Critic (A3C)

This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient

Collection of codes pertaining to my research in model-free RL algorithms.

Learning n-step actions for control tasks

Rainbow, IQN on atari games

A multi-agent deep reinforcement learning model to de-traffic our lives

A simple model-free and value-function-free reinforcement learning model

Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning