Massively Parallel Deep Reinforcement Learning. 🔥

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

PyTorch implementation of deep reinforcement learning algorithms

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

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

Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

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

Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN

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

💡 Grasp - Pick-and-place with a robotic hand 👨🏻‍💻

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

Implementation of DQN and DDQN algorithms for Playing Car Racing Game

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

This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.

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