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--- m1r2017 [2025/09/14 20:50]
66.249.68.35 old revision restored (2025/08/25 16:28)
+++ m1r2017 [2025/09/21 07:57] (current)
66.249.68.35 old revision restored (2025/08/26 17:23)
@@ Line 9: / Line 9: @@
   * cours David Silver : [[http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Teaching.html]]
   * livre de Sutton mis à jour:  [[https://webdocs.cs.ualberta.ca/~sutton/book/bookdraft2016sep.pdf]]
+  * Multi-Agent RL :
+      * en premier, lire le chapitre 4 de [[https://tel.archives-ouvertes.fr/file/index/docid/362529/filename/these_matignon.pdf]]
+      * puis lire [[http://liris.cnrs.fr/laetitia.matignon/index/matignon2012KER.pdf]]
+  * Travaux de De Hauwere: Learning multi-agent state space representations
+      * [[http://www.aamas-conference.org/Proceedings/aamas2010/pdf/01%20Full%20Papers/15_02_FP_0421.pdf]]
+      * [[https://ai.vub.ac.be/ALA2012/downloads/paper5.pdf]]
+=== Construction de représentations en RL ===
+  * Tile Coding et versions adaptatives {{http://www.cs.utexas.edu/~ai-lab/pubs/whitesontr07.ps|adaptative_tile_coding [Whiteson,2007] }} et {{http://www.aaai.org/ocs/index.php/WS/AAAIW10/paper/viewFile/2068/2422|evolutionary_tile_coding [Lin,2010] }}
+  * Combinaison de growing neural gaz GNG et Q-Learning pour discrétisation adaptative de l'espace d'états: http://liris.cnrs.fr/sasem/lib/exe/fetch.php?media=m1r2017:vieira2013tdgngoriginal.pdf
+  * {{http://nn.cs.utexas.edu/downloads/papers/provost.connsci06.pdf|Self-Organizing Distinctive-State Abstraction (SODA) [Kuipers,2006] }}
 === App Constructiviste ===
@@ Line 20: / Line 34: @@
 ===== Mémentos  =====
-=== App Constructiviste ===
+A lire :
+   * https://ai.vub.ac.be/ALA2012/downloads/paper4.pdf
+   * http://ir.library.oregonstate.edu/xmlui/bitstream/handle/1957/39192/HolmesParkerChristopherG2013.pdf;sequence=1
+==== App Constructiviste ====
    * [[compte-rendu-etat-art-these | Etat de l'art (Thèse S. Mazac)]]
-===RL et Inspirations Constructivistes===
+==== RL ====
+=== Multi-agents ===
+   * [[memento-Learning-multi-agent-state-space-representations | Learning multi-agent state space representations (CQLearning)]]
+   * [[memento-Processus-décisionnels-de-Markov-et-systèmes-multiagents | Processus décisionnels de Markov et systèmes multiagents (Thèse L. Matignon)]]
+   * [[memento-Independent-reinforcement-learners-cooperative-Markov-games:-a-survey-regarding-coordination-problems | Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems]]
+   * [[memento-Context-Sensitive-Reward-Shaping-for-Sparse-Inter-action-Multi-Agent-Systems | Context-Sensitive Reward Shaping for Sparse Inter-action Multi-Agent Systems]]
+=== Inspirations Constructivistes ===
    * [[memento-Intrinsically-Motivated-RL | Intrinsically Motivated RL [Singh2005]]]
-=== Value function approximation ===
+==== Value function approximation ====
+   * [[memento-Value-function-approximation | Quelques infos]]
+==== Temporal Difference - Growing Neural Gas ====
+   * [[memento-td-gng | TD-GNG]]
+===== Réalisations  =====
+   * [[realisation_SOM | SOM]]
-   * [[memento-Value-function-approximation |  Quelques infos]]
+===== Réflexions  =====
+   * [[reflexion-gng-qc | CQ-Learning et TD-GNG]]
+===== Comptes-rendu de réunion  =====
+Dossier contenant les slides présentés lors des réunions :
+[[https://drive.google.com/drive/folders/0B7dh6En0bP-KakRNYllvOVN3N2c?usp=sharing | slides]]
+   * [[ reu02-03-17 |02/03/17]]
+   * [[ reu14-03-17 |14/03/17]]
+   * [[ reu24-03-17 |24/03/17]]

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