Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning

von Son, Kyunghwan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 35 of 33 (2023)

INDUCING COOPERATION THROUGH REWARD RESHAPING BASED ON PEER EVALUATIONS IN DEEP MULTI-AGENT REINFORCEMENT LEARNING

von Hostallero, David Earl
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 1 of 3 (2021)