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Nov 24, 2022 · The equations we present are based on a series of assumptions that we will explain. We assume that an agent sends two symbols to another agent.
Nov 24, 2022 · The methods that we use are to model how various agents interact, including power allocation. Our metric for agents passing information are ...
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This research introduces a novel method, Mutual Information-guided Multi-Agent coordination (MIMA), to address these issues.
Mar 1, 2023 · In this paper, we propose a new mutual information framework for multi-agent reinforcement learning to enable multiple agents to learn coordinated behaviors.
Feb 1, 2023 · The social behavioral change in population learning is impacted by the dual properties of mutual information.
We propose to use mutual information (MI) as an augmented reward to prevent individual policies from relying too much on team-related information.
Previ- ous works promote collaboration by maximizing the correlation of agents' behaviors, which is typi- cally characterized by Mutual Information (MI) in.
May 29, 2023 · In multi-agent reinforcement learning (MARL) with communica- tion, coordination information (ordinal) is often required in addition to ...
Jun 21, 2020 · We conclude that the maximization of mutual information among agents promotes the emergence of cooperation in social dilemmas.
The information correlation functions are particularly suited to the description of the emergence of complex behaviors due to many- body or many-agent processes ...