Python sample codes and textbook for robotics algorithms.

An open access book on scientific visualization using python and matplotlib

An elegant PyTorch deep reinforcement learning library.

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Using Keras and Deep Deterministic Policy Gradient to play TORCS

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

An OpenAI gym wrapper for CARLA simulator

Tools for accelerating safe exploration research.

LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.

kinds of reinforcement learning model by Pytorch

DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this…

Implement Motion Planning for autonomous car on CARLA simulator

RL algorithms

Tools for launching multiple processes and for writing tests involving multiple processes.

Reinforcement Learning Agents Trained in the CARLA Simulator

RL in AutoPilot 自动驾驶强化学习：效果展示，框架设计、算法和训练经验文档等（部分开源，update from private repo: egocar）

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

Train auto_car in CARLA simulator with RL algorithms(SAC).

D3QN Pytorch

Using PyTorch and DDPG to play Torcs

Distributional Soft Actor Critic

CIVC ”AD Chauffeur杯”仿真算法挑战赛自动驾驶组决赛第二名云逸行-东北大学队开源项目 --- 20210916

Applying Constrained Policy Networks on Highway Environment

Applying RL methods for autonomous driving in Carla simulator.