InforLorV4, Main, Merge, bibRecord, 007569

A Twofold Modular Approach of Reinforcement Learning for Adaptive Intelligent Agents

Identifieur interne : 007569 ( Main/Merge ); précédent : 007568; suivant : 007570

A Twofold Modular Approach of Reinforcement Learning for Adaptive Intelligent Agents

Auteurs : Olivier Buffet [France]

Source :

RBID : Hal:tel-00509349

Descripteurs français

mix :
- apprentissage par renforcement, apprentissage progressif, processus de décision markoviens, systèmes multi-agents, sélection d'action.

English descriptors

mix :
- Markov decision processes, action selection, multi-agent systems, reinforcement learning, shaping.

Abstract

This PhD thesis has been interested in two fields of artificial intelligence : reinforcement learning (RL) on the one hand, and multi-agent systems (MAS) on the other hand. The former allows for the conception of agents (intelligent entities) based on a reinforcement signal which rewards decisions leading to the specified goal, whereas the latter is concerned with the intelligence that can result from the interaction of a group of entities (in the perspective that the whole is more than the sum of its parts). Both these tools suffer from various difficulties. The work we accomplished has shown how these tools can serve each other to answer some of these problems. Thus, agents of a MAS have been conceived through RL, and the architecture of a reinforcement learning agent has been designed as a MAS. Both tools appear to be very complementary, and our global approach of a “progressive” design has proved its efficiency.

Url:

https://tel.archives-ouvertes.fr/tel-00509349

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000558
to stream Hal, to step Curation: 000558
to stream Hal, to step Checkpoint: 005028

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Hal:tel-00509349

Le document en format XML

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A Twofold Modular Approach of Reinforcement Learning for Adaptive Intelligent Agents

A Twofold Modular Approach of Reinforcement Learning for Adaptive Intelligent Agents

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri