MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement
Learning in Mixed Dynamic Environments

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

30 July 2020

Ding Zhao

Papers citing "MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments"

11 / 11 papers shown

Title
EvoFlow: Evolving Diverse Agentic Workflows On The Fly Guibin Zhang Kaijie Chen Guancheng Wan Heng Chang Hong Cheng Kaidi Wang Shuyue Hu Lei Bai 99 2 0 11 Feb 2025
Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Brandon Ho Batuhan Altundas Matthew C. Gombolay 81 0 0 08 Feb 2025
Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding He Jiang Yutong Wang Rishi Veerapaneni Tanishq Duhan Guillaume Sartoretti Jiaoyang Li 42 0 0 28 Oct 2024
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment Huifeng Guan Yuan Gao Ming Zhao Yong Yang Fuqin Deng Tin Lun Lam 40 2 0 02 Oct 2021
Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding Lakshay Virmani Z. Ren Sivakumar Rathinam Howie Choset 39 3 0 29 Sep 2021
Decentralized Spatial-Temporal Trajectory Planning for Multicopter Swarms Xin Zhou Zhepei Wang Xian Wen Jiangchao Zhu Chao Xu Fei Gao 30 29 0 23 Jun 2021
Distributed Heuristic Multi-Agent Path Finding with Communication Ziyuan Ma Yudong Luo Hang Ma 23 69 0 21 Jun 2021
Multi-agent navigation based on deep reinforcement learning and traditional pathfinding algorithm Hong Qiu AI4CE 19 6 0 05 Dec 2020
EGO-Swarm: A Fully Autonomous and Decentralized Quadrotor Swarm System in Cluttered Environments Xiaoxia Zhou Jiangchao Zhu Hongyu Zhou Chao Xu Fei Gao 28 139 0 09 Nov 2020
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 149 509 0 04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 191 583 0 26 Sep 2016