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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

4 February 2025
Zelai Xu
Chao Yu
Chao Yu
Huining Yuan
Xiangmin Yi
Shilong Ji
Chuqi Wang
Wenhao Tang
Yu Wang
Wenbo Ding
Xiusi Chen
Yu Wang
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Papers citing "VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play"

36 / 36 papers shown
Title
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
Haoran Wang
Zhiwei Shi
Chengxi Zhu
Yafei Qiao
Cheng Zhang
Fan Yang
Pengjie Ren
Lan Lu
D. Xuan
113
1
0
24 Apr 2025
What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study
What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study
Jiayu Chen
Chao Yu
Yuqing Xie
Feng Gao
Yinuo Chen
...
Shilong Ji
Mo Mu
Yi Wu
H. Yang
Yu Wang
159
4
0
16 Dec 2024
Achieving Human Level Competitive Robot Table Tennis
Achieving Human Level Competitive Robot Table Tennis
David B. DÁmbrosio
Saminda Abeyruwan
L. Graesser
Atil Iscen
H. B. Amor
...
Vikas Sindhwani
Vincent Vanhoucke
Grace Vesom
P. Xu
Pannag R Sanketi
113
15
0
07 Aug 2024
A Survey on Self-play Methods in Reinforcement Learning
A Survey on Self-play Methods in Reinforcement Learning
Chao Yu
Zelai Xu
Chengdong Ma
Chao Yu
Weijuan Tu
...
Deheng Ye
Wenbo Ding
Yaodong Yang
Yu Wang
Yu Wang
SyDa
SSL
OnRL
81
9
0
02 Aug 2024
SMPLOlympics: Sports Environments for Physically Simulated Humanoids
SMPLOlympics: Sports Environments for Physically Simulated Humanoids
Zhengyi Luo
Jiashun Wang
Kangni Liu
Haotian Zhang
Chen Tessler
...
Jinkun Cao
Zihui Lin
Fengyi Wang
Jessica Hodgins
Kris Kitani
60
13
0
28 Jun 2024
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped
  Environment
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
Ziyan Xiong
Bo Chen
Shiyu Huang
Weijuan Tu
Zhaofeng He
Yang Gao
64
4
0
24 Mar 2024
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed
  Cooperative-Competitive Games
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games
Zelai Xu
Yancheng Liang
Chao Yu
Yu Wang
Yi Wu
62
9
0
05 Oct 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu
Feng Gao
Chao Yu
Chao Yu
Yi Wu
Yu Wang
85
30
0
22 Sep 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement
  Learning
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja
Ben Moran
Guy Lever
Sandy H. Huang
Dhruva Tirumala
...
Andrea Huber
N. Hurley
F. Nori
R. Hadsell
N. Heess
103
150
0
26 Apr 2023
Orbit: A Unified Simulation Framework for Interactive Robot Learning
  Environments
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
Mayank Mittal
C. Yu
Qinxi Yu
Jingzhou Liu
Nikita Rudin
...
Ajay Mandlekar
Buck Babich
Gavriel State
Marco Hutter
Animesh Garg
89
195
0
10 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
60
92
0
14 Dec 2022
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills
  using a Quadrupedal Robot
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot
Yandong Ji
Zhongyu Li
Yinan Sun
Xue Bin Peng
Sergey Levine
Glen Berseth
Koushil Sreenath
55
67
0
01 Aug 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement
  Learning
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen
Tianhao Wu
Shengjie Wang
Xidong Feng
Jiechuan Jiang
...
Yiran Geng
Hao Dong
Zongqing Lu
Song-Chun Zhu
Yaodong Yang
OffRL
75
114
0
17 Jun 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Muning Wen
J. Kuba
Runji Lin
Weinan Zhang
Ying Wen
Jun Wang
Yaodong Yang
77
187
0
30 May 2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement
  Learning
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning
Q. Sun
Jinbao Fang
Weixing Zheng
Yang Tang
26
28
0
26 Mar 2022
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
102
239
0
23 Sep 2021
Distributed Swarm Trajectory Optimization for Formation Flight in Dense
  Environments
Distributed Swarm Trajectory Optimization for Formation Flight in Dense Environments
Lun Quan
Longjie Yin
Chao Xu
Fei Gao
40
29
0
16 Sep 2021
Robust Navigation for Racing Drones based on Imitation Learning and
  Modularization
Robust Navigation for Racing Drones based on Imitation Learning and Modularization
Tianqi Wang
D. Chang
38
9
0
27 May 2021
From Motor Control to Team Play in Simulated Humanoid Football
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
102
130
0
25 May 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
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
126
1,242
0
02 Mar 2021
Real World Games Look Like Spinning Tops
Real World Games Look Like Spinning Tops
Wojciech M. Czarnecki
Gauthier Gidel
Brendan D. Tracey
K. Tuyls
Shayegan Omidshafiei
David Balduzzi
Max Jaderberg
32
99
0
20 Apr 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
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
94
801
0
19 Mar 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng
Tabish Rashid
Christian Schroeder de Witt
Pierre-Alexandre Kamienny
Philip Torr
Wendelin Bohmer
Shimon Whiteson
49
260
0
14 Mar 2020
On the Utility of Learning about Humans for Human-AI Coordination
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll
Rohin Shah
Mark K. Ho
Thomas Griffiths
Sanjit A. Seshia
Pieter Abbeel
Anca Dragan
HAI
67
394
0
13 Oct 2019
Learning Vision-based Flight in Drone Swarms by Imitation
Learning Vision-based Flight in Drone Swarms by Imitation
Fabian Schilling
Julien Lecoeur
Fabrizio Schiano
Dario Floreano
SSL
50
67
0
08 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
133
402
0
25 Jul 2019
The StarCraft Multi-Agent Challenge
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
85
950
0
11 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard
Jakob N. Foerster
A. Chandar
Neil Burch
Marc Lanctot
...
Iain Dunning
Shibl Mourad
Hugo Larochelle
Marc G. Bellemare
Michael Bowling
LLMAG
62
352
0
01 Feb 2019
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
83
840
0
16 Nov 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
169
5,168
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
284
8,313
0
04 Jan 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
91
635
0
02 Nov 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
444
18,931
0
20 Jul 2017
Control of a Quadrotor with Reinforcement Learning
Control of a Quadrotor with Reinforcement Learning
Jemin Hwangbo
Inkyu Sa
Roland Siegwart
Marco Hutter
66
481
0
17 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
136
4,468
0
07 Jun 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
304
13,214
0
09 Sep 2015
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