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

DrQ: Data regularized Q

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

RAD: Reinforcement Learning with Augmented Data

⚡ Flashbax: Accelerated Replay Buffers in JAX

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

ExORL: Exploratory Data for Offline Reinforcement Learning

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Qlearning Temporal difference method Reinforcement Learning

PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"

RosefinAIEngine of Rosfintech

Actor Prioritized Experience Replay

TensorFlow implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

DDPG and D4PG Continuous Control

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.

This repository contains the implementation of a wide variety of Reinforcement Learning Projects in different applications of Bandit Algorithms, MDPs, Distributed RL and Deep RL. These projects include university projects and projects implemented due to interest in Reinforcement Learning.

A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.

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

off-policy algorithm utilizing offline and online data