Automated & super fast PyTorch deep reinforcement learning platform for autonomous driving

Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.

A repository for easy understanding of codes in Deep Reinforcement Learning

🤖 Materials and homework assignments for HSE reinforcement learning course

PyTorch implementation of GAIL and PPO reinforcement learning algorithms

GAIL learning to imitate PPO playing CartPole.

Deep RL Agent using Proximal Policy Optimization for solving the Pong game.

My Little Reinforcement Learning

Reinforcement learning (PPO) plays Mario.

Repository of Various Test & Implementation of RL

This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Agent trained to play battleship using reinforcement learning (PPO) and openAI gym

An easily understandable implementation of Proximal Policy Optimization with PyTorch

TD3 and PPO implementation -- Final project for the course ELEC-E8125 Reinforcement Learning at Aalto University

🐏 Materials and homework assignments for HSE production stories course

Informationally Mosaic Reinforcement Learning (Preprint: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=nargncAAAAAJ&citation_for_view=nargncAAAAAJ:W7OEmFMy1HYC)

self driving car using Torcs-1.3.7 simulator with server-patch

PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball