Vosa23

GymTorcs

A Gym wrapper for the Torcs Racing car simulator

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

drq

DrQ: Data regularized Q

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

ppo

Proximal Policy Optimization implementation with TensorFlow

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Pytorch-DPPO

Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

sac

Soft Actor-Critic

rlkit

Collection of reinforcement learning algorithms

DeepMimic

Motion imitation with deep reinforcement learning.

rlTORCS

A modified version of TORCS for deep reinforcement learning.

gym_torcs

Deep-RL-TORCS

Autonomous Navigation using Deep Reinforcement Learning

Master-Thesis

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

pyTORCS-docker

Docker-based, gym-like torcs environment with vision.

gym_torqs

TORCS-GAIL

ppo-pytorch

Torcs-Autonomous-Vehicle-using-A3C

AI controller for autonomous cars

TorcsRLILHybrid

gym

An improvement of CarRacing-v0 from OpenAI Gym in order to make the environment complex enough for Hierarchical Reinforcement Learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.

MIT-6.S094

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction