model-free-rl

MishaLaskin/curl

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

dongminlee94/deep_rl

PyTorch implementation of deep reinforcement learning algorithms

yingchengyang/Reinforcement-Learning-Papers

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

erfanMhi/Deep-Reinforcement-Learning-CS285-Pytorch

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

dongminlee94/Samsung-DRL-Code

A repository for implementation of deep reinforcement learning lectured at Samsung

xlnwel/model-free-algorithms

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

manantomar/Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization

dongminlee94/Reinforcement-Learning-Code

A repository for code of reinforcement learning algorithms with PyTorch

makaveli10/reinforcementLearning

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

AIR-DI/D2C

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

fedebotu/vision-cartpole-dqn

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

paulvantieghem/curla

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

mohammadzainabbas/Reinforcement-Learning-CS

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

wiitt/DQN-Car-Racing

Implementation of DQN and DDQN algorithms for Playing Car Racing Game

MathPhysSim/FERMI_RL_Paper

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

SSubhnil/BAC-DAC-gym

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

fedebotu/a3c-flappy-bird

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

matakshay/DeepRL-for-Delayed-Rewards

Deep RL for Temporal Credit Assignment in decision processes with delayed rewards

narjesno/Reinforcement-Learning

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.

cbanerji/Sample_efficient_RL.

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

ShreeshaN/ReinforcementLearningTutorials

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

alfredo-g-zapiola/practical-reinforcement-learning

Brownwang0426/Reversal-Generative-Reinforcement-Learning

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

koulanurag/variable-td3

Learning n-step actions for control tasks

shaheennabi/Reinforcement-or-Deep-Reinforcement-Learning-Practices-and-Mini-Projects

Reinforcement Learning (RL) 🤖! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. 🚀 Build smart agents, learn the math behind policies, and experiment with real-world applications! 🔥💡

xlnwel/atari_rl

Rainbow, IQN on atari games

DeTraffic/detraffic

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

LauraKarimova/Big_Data_Research_Project

The 3D bin packing problem is a combinatorial optimization problem that involves fitting a given set of items of various sizes into a container of a specific size such that the total volume of the items is as close to the volume of the container as possible.

esther-poniatowski/Massi2022

Testing different Reinforcement Learning strategies inspired by hippocampal replay for robotic navigation

kaushal1120/ReinforcementLearning

Implementation of model-free reinforcement learning to learn the correct policy in a Markov Decision Process. The input to the program is a Markov Decision Process and the program will learn what to do through experimentation.

NUS-LID/RENAULT

Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning

shiivashaakeri/RL-Model-Free-Gym

mKabouri/RL-algorithms

RanKyoto/RE-POMDP

Deep reinforcement learning for static noisy state feedback control with reward estimation

spktrm/porygon2

Porygon2 is a Node.js-based server for simulating Pokémon battles using the pkmn library. Easily set up the environment with the provided script for training and evaluation.