Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective

9 June 2021

Papers citing "Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective"

6 / 6 papers shown

Title
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N Tianyu Zhang Andrew Robert Williams Soham R. Phade Sunil Srinivasa Yang Zhang Prateek Gupta Yoshua Bengio Stephan Zheng AI4CE 24 21 0 15 Aug 2022
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 46 10 0 30 Sep 2021
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization Yoav Alon Huiyu Zhou 51 9 0 31 Dec 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska S. Zhang A. Leon-Garcia Nicolas Papernot AAML 69 65 0 08 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020