h-fu Goto Github PK

airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

autonomous-driving-turtlebot-with-reinforcement-learning

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cadrl

Implementation of paper "Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning". NO LONGER MAINTAINED. CHECK OUT CrowdNav.

cbf-cartpole

Various Control Barrier Function realized on cartpole.

clf-cbf-python

This is a python repo that implements control barrier function quadratic programming method.

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

deep-reinforcement-learning-algorithms-with-pytorch

Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

dqn-navigation

Deep Reinforcement Learning solution to a navigation problem.

drl_nav

Robot Formation Navigation in Gazebo with Deep Reinforcement Learning.

gazebo_multiagent_reinforcementlearning

A Reinforcement Learning Platform for Multi-agent System based on Gazebo

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-collision-avoidance

gym-gazebo2

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

gym_mobilerobot

For reinforcement learning mobile robot navigation

haofu.github.io

hybrid-deeprl-automated-driving

Integrating Deep Reinforcement Learning with Path planning for Automated Driving

mobile_robot_rl

Mobile robot control in V-REP using Deep Reinforcement Learning Algorithms.

motion-planner-reinforcement-learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

navi_deeprl

Aim to use deep reinforcement learning to realize obstacle avoidance.

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

rizar.github.io

My academic website

rl-based-navigation

Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization

rl-collision-avoidance

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

rl-robot

Reinforcement learning with Gym, Gazebo and real robot

rl_collision_avoidance

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

robot-visual-navigation

Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning Official Implementation