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Northeastern University
- Shenyang, China
- https://orcid.org/0000-0002-1577-4573
- https://technician13.github.io/
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[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Generalized Population-Based Training With Pairwise Learning (GPBT-PL)
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superi…
The source code of the [RA-L] paper "Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards"
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
A simple and easy-to-use library to enjoy videogames programming
Implementation of the SADG RHC feedback control scheme to reduce route completion times of delayed agents following MAPF plans.
This is a multi-agent path planning(also known as Multi-Agent Path Finding, MAPF) algorithm package for ROS
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Python implementation of a bunch of multi-robot path-planning algorithms.
Vehicle and mobile robotics simulator. C++ & Python API. Use it as a standalone application or via ROS 1 or ROS 2
🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Multi-Robot Path Planning on Graphs Solution by A* algorithm
MATLAB scripts for multi-robot task allocation for online tasks in warehouse/factory environments
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control