Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

14 March 2022

Papers citing "Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation"

10 / 10 papers shown

Title
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation Adam Labiosa Josiah P. Hanna 49 0 0 07 Mar 2025
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games Tong Yang Bo Dai Lin Xiao Yuejie Chi OffRL 56 2 0 13 Feb 2025
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 30 0 0 27 Sep 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 34 1 0 21 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 25 6 0 04 Dec 2023
Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa Ilija Bogunovic Andreas Krause Maryam Kamgarpour 41 21 0 13 Jul 2021
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 136 193 0 19 Oct 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 135 355 0 16 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016