Pierre Gérard
Assistant Professor (computer science)
University of Paris 13
Computer Science Lab of Paris 13 University (LIPN) / Office B211 / +33 1 49 40 28 31
Recherche (fr) / Research (en) / Enseignement / Divers
I'm studying online adaptive behavior of autonomous agents. More specifically, my research deals about reinforcement learning and action model learning.
Rodrigues, C., Gérard, P., Rouveirol, C. and Soldano, H. (2010) Incremental learning of relational action rules. ICMLA'10
Rodrigues, C., Gérard, P. and Rouveirol, C. (2010) Incremental learning of relational action models in noisy environments. ILP'10
Gérard, P., Meyer J.-A. and Sigaud, O. (2005) Combining Latent Learning and Dynamic Programming in MACS. European Journal of Operational Research 160:614-637.
Gérard, P. and Sigaud, O. (2003) Designing Efficient Exploration with MACS: Modules and Function Approximation. Proceedings of the Genetic and Evolutionary Computation Conference,GECCO'03.
Gérard, P., Stolzmann, W. and Sigaud, O. (2002) YACS : a new Learning Classifier System using Anticipation. Journal of Soft Computing : Special Issue on Learning Classifier Systems. 6 (3-4), 216-228 Springer Verlag.
Rodrigues, C., Gérard, P. and Rouveirol, C. (2010) Incremental learning of relational action models in noisy environments. JFPDA'10
Rodrigues, C., Gérard, P. and Rouveirol, C. (2010) Apprentissage incrémental de règles d'actions relationnelles. RFIA'10
Rodrigues, C., Gérard, P. and Rouveirol, C. (2008) On and Off-Policy Relational Reinforcement Learning. ILP'08.
Rodrigues, C., Gérard, P. and Rouveirol, C. (2008) Relational TD Reinforcement Learning. EWRL'08.
Rodrigues, C., Gérard, P. and Rouveirol, C. (2008) On and Off-Policy Relational Reinforcement Learning. ILP'08.
Gérard, P. and Sigaud, O. (2004) Apprentissage par renforcement indirect dans les systèmes de classeurs. JEDAI.
Butz, M.V., Sigaud, O. and Gérard, P. (2003) Internal Models and Anticipations in Adaptive Learning Systems. In Butz et al. (Eds) LNCS 2684 :Anticipatory Behavior in Adaptive Learning Systems , Springer Verlag.
Butz, M.V., Sigaud, O. and Gérard, P. (2003) Anticipatory Behavior: Exploiting Knowledge about the Future to Improve Current Behavior. In Butz et al. (Eds) LNCS 2684 :Anticipatory Behavior in Adaptive Learning Systems , Springer Verlag.
Landau, S., Picault, S., Sigaud, O., and Gérard, P. (2003). Further Comparison between ATNoSFERES and XCSM. In Stolzmann, W., Lanzi, P.-l., and Wilson, S. W., editors, Learning Classifier Systems LNCS 2661, pages 99-117. Springer-Verlag.
Sigaud, O. and Gérard, P. (2003) Apprentissage par renforcement indirect dans les systèmes de classeurs. In Actes des journées PDMIA.
Butz, M. V. and Sigaud, O. and Gérard, P. (2002) Internal Models and Anticipations in Adaptive Learning Systems. Anticipatory Behavior in Adaptive Learning Systems. SAB'02 workshop. (version étendue dans les chapitres d'ouvrages)
Landau, S., Picault, S., Sigaud, O. and Gérard, P. (2002) A Comparison between ATNoSFERES and XCSM. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO'02., 926-933
Gérard, P. and Sigaud, O. (2001) Adding a Generalization Mechanism to YACS. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001, 951-957
Gérard, P. and Sigaud, O. (2001) YACS : Combining Dynamic Programming with Generalization in Classifier Systems. In LNAI 1996 : Advances in Classifier Systems, 53-69, Springer-Verlag (version étendue de la contribution à IWLCS00)
Sigaud, O. and Gérard, P. (2001) Being reactive by exchanging roles: an empirical study. In LNAI 2103: Balancing reactivity and Social Deliberation in Multiagent Systems, 150-172, Springer-Verlag (version étendue de la contribution à ECAI00)
Sigaud, O. and Gérard, P. (2001) Using Classifier Systems as Adaptive Expert Systems for Control. In LNAI 1996 : Advances in Classifier Systems, 138-157, Springer-Verlag
Landau, S., Picault, S., Sigaud, O. and Gérard, P. (2002) Further Comparison between ATNoSFERES and XCSM. In Stolzmann et al. (Eds). IWLCS-02. Proceedings of the Fourth International Workshop on Learning Classifier Systems.
Gérard, P. and Sigaud, O. (2000) Combining Anticipation and Dynamic Programming in Classifier Systems (abstract). In Proceedings of the Third International Workshop on Learning Classifier Systems, IWLCS00.
Sigaud, O. and Gérard, P. (2000) The use of roles in a multiagent adaptive simulation. In Proceedings of the 14th European Conference in Artificial Intelligence (ECAI00), Workshop on Balancing reactivity and Social Deliberation in Multiagent Systems., 113-124
Sigaud, O. and Gérard, P. (1999) Contribution au problème de la sélection de l'action en environnement partiellement observable. In Drogoul et Meyer (Eds.). Intelligence Artificielle Située., 129-146, Hermès.
Gérard, P. (2001) Generalization and Latent Learning in Learning Classifier Systems. Proceedings of the EURO Summer Institute XIX.
Butz, M.V., Sigaud, O. and Gérard, P. (Eds) (2003) LNCS 2684 : Anticipatory Behavior in Adaptive Learning Systems.
Gérard, P. (2002). Systèmes de classeurs : étude de l'apprentissage latent. Thèse de Doctorat de l'Université Paris 6. Spécialité Informatique [pdf].