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autonomous-mobile-robot-reinforcement-learning

Autonomous Mobile Robot with Moving Obstacle Avoidance Based on Simulation and Reinforcement Learning

autonomous-mobile-robots

Use ROS and Gazebo to demonstrate SLAM and Path Planning in a simulated robotic environment.

autonomous_exploration_development_environment

Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.

deep-reinforcement-learning-algorithms-with-pytorch

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

drl-for-autonomous-driving

探索深度强化学习在自动驾驶决策规划中的使用

drl-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

drl4targetdrivenvn

Repository with the code of the paper Towards Generalization in Target-Driven Visual Navigation by Using Deep Reinforcement Learning

drl_algorithm_library

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

drl_navigation

Robot navigation using deep reinforcement learning

dwa-rl

Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navigation.

highwayenv

A minimalist environment for decision-making in autonomous driving

image-to-rosmap

Python code for turning a .png image in a ROS map

limo_ros

the limo ros1 package

machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

pathplanning-master

This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algorithms. We designed animation for each algorithm to display the running process. The related papers are listed in Papers.

pepper_drl_maexploration

Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm

random-network-distillation-pytorch

Random Network Distillation pytorch

reinforcementlearning

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

rher

The official code for paper “Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards”

rl_exploration_for_uavs

Reinforcement Learning-based exploration algorithm to drive a fleet of UAVs in an unknown environment.

rl_uavs_fleets

roblearn

ROS Robotic Deep Learning

ros_motion_planning

Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.

ros_pytorch_rl

在turtlebot3，pytorch上使用DQN,DDPG,PPO,SAC算法，在gazebo上实现仿真。Use DQN, DDPG, PPO, SAC algorithm on turtlebot3, pytorch on turtlebot3, pytorch, and realize simulation on gazebo. Use DQN, DDPG, PPO, SAC algorithm to realize simulation on gazebo.

turtlebot3-ddpg-lstm-per

multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS

unity-navigation-reinforcement-learning

A deep q-network AI agent that learns to collect bananas in a Unity environment

wtf-deeprl

Deep RL algorithm in pytorch