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MQE: Unleashing the Power of Interaction with Multi-agent Quadruped
  Environment

MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment

24 March 2024
Ziyan Xiong
Bo Chen
Shiyu Huang
Weijuan Tu
Zhaofeng He
Yang Gao
ArXivPDFHTML

Papers citing "MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment"

4 / 4 papers shown
Title
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
Zelai Xu
Chao Yu
Ruize Zhang
Huining Yuan
Xiangmin Yi
Shilong Ji
Chuqi Wang
Wenhao Tang
Yu-Xiang Wang
125
0
0
04 Feb 2025
OpenRL: A Unified Reinforcement Learning Framework
OpenRL: A Unified Reinforcement Learning Framework
Shiyu Huang
Wentse Chen
Yiwen Sun
Fuqing Bie
Weijuan Tu
29
3
0
20 Dec 2023
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
108
535
0
24 Sep 2021
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
118
919
0
07 Jul 2017
1