PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

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

ReLAx - Reinforcement Learning Applications Library

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.

A reinforcement learning framework for the game of Nim.

This is an implementation of n-step SARSA and a gridworld to be solved by it.

Multistep TD3 for locomotion

Example Rainbow DQN implementation with ReLAx