Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation

Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation

8 February 2023

Xinyi Yang

Shiyu Huang

Chao Yu

Papers citing "Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation"

17 / 17 papers shown

Title
Multi-Robot System for Cooperative Exploration in Unknown Environments: A Survey Chuqi Wang Chao Yu Xin Xu Yuman Gao Xinyi Yang ... ZhuoZhu Jian Xinyu Chen Fei Gao Boyu Zhou Yu Wang 79 0 0 10 Mar 2025
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen Jun Wang Yaodong Yang 86 188 0 30 May 2022
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning Christopher Hoang Sungryull Sohn Jongwook Choi Wilka Carvalho Honglak Lee 63 32 0 18 Nov 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 87 62 0 26 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu Xinyi Yang Jiaxuan Gao Huazhong Yang Yu Wang Yi Wu 53 30 0 12 Oct 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 71 144 0 01 Jul 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control Jacopo Panerati Hehui Zheng Siqi Zhou James Xu Amanda Prorok Angela P. Schoellig University of Toronto Institute for A Studies AI4CE 74 156 0 03 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 134 1,252 0 02 Mar 2021
Inter-Level Cooperation in Hierarchical Reinforcement Learning Abdul Rahman Kreidieh Yiling You Nathan Lichtlé Samyak Parajuli Rayyan Nasr Alexandre M. Bayen 71 14 0 05 Dec 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 51 115 0 27 Sep 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 59 807 0 14 May 2019
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 99 808 0 21 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 150 1,671 0 30 Mar 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,485 0 07 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 71 1,135 0 20 Apr 2016