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In complex scenarios where a model of other actors is necessary to predict and interpret their actions, it is often desirable that the model works well with a wide variety of previously unknown actors.
Jul 8, 2019
This paper proposes Quality Diversity algorithms as a promising class of algorithms to generate populations for this purpose and shows an initial implementation ...
This paper proposes Quality Diversity algorithms as a promising class of algorithms to generate populations for this purpose and shows an initial implementation ...
In this paper we discuss characteristics that would be desirable in a method for generating pools of agents that can be used to evaluate other agents in ad-hoc ...
Jul 8, 2019 · In this paper we discuss characteristics that would be desirable in a method for generating pools of agents that can be used to evaluate other ...
Quality Diversity algorithms are proposed as a promising class of algorithms to generate populations for this purpose and an initial implementation of an ...
The aim of this project is to leverage algorithms that can generate a large number of behaviorally diverse agents, such as MAP-Elites, to search for robust and ...
Apr 25, 2022 · In this article, we focus on ad hoc settings with no previous coordination between partners. We introduce a “Bayesian Meta-Agent” that maintains a belief ...
Canaan et al. [7] also propose a diversity-based approach for generating AI Hanabi agents that uses genetic algorithms and hard-coded Hanabi play ...
Hanabi is a cooperative game that brings the problem of modeling other players to the forefront. In this game, coordinated groups of players can leverage pre ...