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 15 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 30 10 0 30 Sep 2021
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization Yoav Alon Huiyu Zhou 46 9 0 31 Dec 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 131 192 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 67 64 0 08 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 130 213 0 06 Mar 2020