Integrating Human Recommendations in the Decision Process of Autonomous AgentsReport as inadecuate




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1 Equipe MAD - Laboratoire GREYC - UMR6072 GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen

Abstract : In order to help agents in a difficult situation, we integrate the human in the agent-s decision process. We develop a new model called Human Help Provider in a Markov Decision Process HHP-MDP. We define HHP-MDP as a middle ground between an autonomous agent and a teleoperated agent called adjustable autonomy. The global approach of HHP-MDP is based on 1 a recommendation is translated into a partial policy, 2then, this partial policy is translated into transition and reward functions associated to the agent Markov Decision Process. This new model is quickly integrated into the agent-s decision process.





Author: Nicolas Côté - Maroua Bouzid - Abdel-Illah Mouaddib -

Source: https://hal.archives-ouvertes.fr/



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