Reinforcement-Learning-F22 / Dynamic-Routing-for-Navigation-in-Changing-Unknown-MapsLinks
Using Reinforcement Learning (RL) algorithms to plan a global route for mobile robot navigation problems. Q-learning, Sarsa, and Double Q-learning algorithms for the environment with cliff, mouse, and cheese are compared.
☆12Updated 3 years ago
Alternatives and similar repositories for Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps
Users that are interested in Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps are comparing it to the libraries listed below
Sorting:
- Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous env…☆24Updated 3 years ago
- Code for G2RL to solve the multi-robot path planning problem in a fully distributed reactive manner.☆69Updated 2 years ago
- Deep learning model powered by Graph Neural Networks and Reinforcement Learning for multi-robot path planning at @Inria☆66Updated last year
- ☆17Updated last year
- 利用深度强化学习的方法实现多智能体间离散无交流的障碍避免。其中强化学习算法训练模型所需的数据集由最优互惠碰撞避免(Optimal Reciprocal Collision Avoidance， ORCA)算法生成。☆88Updated 6 years ago
- Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning☆71Updated 4 years ago
- multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS☆77Updated 3 years ago
- ☆56Updated 3 years ago
- ☆118Updated last year
- 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, an…☆129Updated 2 years ago
- Using RL based controller for steering function of RRT. And a network learns to perform motion planning☆38Updated 5 years ago
- Robot navigation using deep reinforcement learning☆70Updated 3 years ago
- Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay☆126Updated 2 years ago
- Use DQN to boost MPC computation for dynamic obstacle avoidance.☆46Updated last year
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆15Updated 4 years ago
- Multi-agent Task Allocation (WAFR2022)☆28Updated 4 years ago
- offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'☆58Updated 2 years ago
- Path Planning for the Robots Using Reinforcement Learning☆37Updated 3 years ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆76Updated 4 years ago
- multi-agent formation control environment implemented with MPE.☆15Updated 3 years ago
- This repository contains the implementation of reinforcement learning algorithms like PPO and A2C, to solve the problem: Dynamic Obstacle…☆18Updated 4 years ago
- Application of an LSTM-based policy gradient on an RL agent☆15Updated 3 years ago
- Code for RAL 2024: Heterogeneous Multi-robot Task Allocation and Scheduling via Reinforcement Learning.☆50Updated last year
- RL Navigation for Mantis and Turtlebot3☆24Updated 5 years ago
- Turtlebot Robot Navigation in Gazebo based on DRL☆22Updated 3 years ago
- End-to-end reinforcement learning using DDPG and PPO algorithms in a simulated robot environment☆21Updated 5 years ago
- DRL-based collision avoidance for turtlebot3☆19Updated 3 years ago
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆63Updated 3 years ago
- Asynchronous Off-Policy Deep Reinforcement Learning For Wheeled Robot Path Planning☆45Updated 6 years ago
- An RL trained agent navigates towards the goal while avoiding pedestrians and static obstacles in indoor environments.☆16Updated 4 years ago