Real World Games Look Like Spinning Tops

Real World Games Look Like Spinning Tops

20 April 2020

Wojciech M. Czarnecki

Brendan D. Tracey

Shayegan Omidshafiei

Papers citing "Real World Games Look Like Spinning Tops"

19 / 19 papers shown

Title
Seeding for Success: Skill and Stochasticity in Tabletop Games J. Goodman Diego Perez-Liebana Simon Lucas 40 1 0 04 Mar 2025
Investigating Non-Transitivity in LLM-as-a-Judge Yi Xu Laura Ruis Tim Rocktaschel Robert Kirk 38 0 0 19 Feb 2025
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 133 0 0 04 Feb 2025
A Survey on Self-play Methods in Reinforcement Learning Ruize Zhang Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 46 8 0 02 Aug 2024
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles Jiesong Lian Yucong Huang Chengdong Ma Mingzhi Wang Ying Wen Long Hu Yixue Hao 57 0 0 31 May 2024
A social path to human-like artificial intelligence Edgar A. Duénez-Guzmán Suzanne Sadedin Jane X. Wang Kevin R. McKee Joel Z. Leibo GNN 28 28 0 22 May 2024
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games Yang Li Kun Xiong Yingping Zhang Jiangcheng Zhu Stephen Marcus McAleer Wei Pan J. Wang Zonghong Dai Yaodong Yang 24 2 0 09 Aug 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 21 17 0 15 Feb 2023
Achieving Better Regret against Strategic Adversaries Le Cong Dinh Tri-Dung Nguyen Alain B. Zemkoho Long Tran-Thanh 17 0 0 13 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z. Leibo 20 2 0 02 Feb 2023
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
NeuPL: Neural Population Learning Siqi Liu Luke Marris Daniel Hennes J. Merel N. Heess T. Graepel 30 17 0 15 Feb 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xueqiang Yan Yali Du Binxin Ru Jun Wang Haifeng Zhang Xu Chen 33 7 0 12 Jan 2022
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 19 4 0 02 Dec 2021
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers Chenguang Wang Yaodong Yang Oliver Slumbers Congying Han Tiande Guo Haifeng Zhang Jun Wang 19 16 0 28 Oct 2021
Measuring the Non-Transitivity in Chess R. Sanjaya Jun Wang Yaodong Yang 8 22 0 22 Oct 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 26 181 0 27 Jul 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 17 67 0 14 Mar 2021
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 35 79 0 04 Aug 2020