DrQ: Data regularized Q

RAD: Reinforcement Learning with Augmented Data

Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

ExORL: Exploratory Data for Offline Reinforcement Learning

The Reinforcement-Learning-Related Papers of ICLR 2019

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Implementation of Soft Actor Critic and some of its improvements in Pytorch

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

Code for IEEE MLSP 2021 paper titled "Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration"

A Pytorch implementation of The Visual Centrifuge: Model-Free Layered Video Representations.

DDPG and D4PG Continuous Control

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

This repository hosts the code accompanying the paper "Model-Free Active Exploration in Reinforcement Learning". Our study approaches the exploration problem in Reinforcement Learning (RL) from an information-theoretical viewpoint and presents a novel, efficient, and entirely model-free solution.

Sample Policy Gradient

Network inference via Event Space Linearization (ESL)

A Python package for Robot Learning

Project for the course "Foundations of Reinforcement Learning" 2021 at ETH Zurich

This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.

[Innopolis University] Reinforcement Learning Course 2022.