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We present an alternative based on a Multi Agent System (MAS): an agent mines one data source in order to extract a local theory (knowledge model) and then ...
Nov 21, 2024 · We present an alternative based on a Multi Agent System (MAS): an agent mines one data source in order to extract a local theory (knowledge ...
This work presents an alternative based on a Multi Agent System (MAS): an agent mines one data source in order to extract a local theory and then merges it ...
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It focuses on studying the behavior of multiple learning agents that coexist in a shared environment. Each agent is motivated by its own rewards, and does ...
Abstract. This paper experimentally evaluates multi- agent learning algorithms playing repeated matrix games to maximize their cumulative return.
This paper describes multi-agent learning experiments per- formed on tactical sequences of the pursuit evasion game on very small grids. It underlines the ...
Aug 1, 2024 · They are simply cheaper and more scalable ways of simulating human experiments. · They might be more exhaustive and transparent, thanks to their ...
Feb 28, 2024 · Existing methods mainly utilize intrinsic rewards to enable committed exploration or use role-based learning for decomposing joint action spaces ...
This work describes an on-going effort to improve that communication by incorporating an interactive and “transparent” learning agent into a multi-agent ...
4.5 Experimental Results & Analysis. This section describes experimental results on three 2-agent fixed-sum grid games. The games were designed to evaluate ...