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--- m1r2017 [2025/07/02 23:02]
20.171.207.208 old revision restored (2025/06/15 17:02)
+++ m1r2017 [2025/07/03 05:46] (current)
20.171.207.121 old revision restored (2025/07/02 22:59)
@@ Line 18: / Line 18: @@
       * [[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 34: / Line 29: @@
 ===== Mémentos  =====
-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 ====
-=== Multi-agents ===
+   * [[memento-Learning-multi-agent-state-space-representations | Learning multi-agent state space representations]]
-   * [[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 (A terminer)]]
-   * [[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 ====
    * [[memento-Value-function-approximation | Quelques infos]]
 ==== Temporal Difference - Growing Neural Gas ====
    * [[memento-td-gng | TD-GNG]]
@@ Line 60: / Line 51: @@
 ===== 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]]
+   * 14/03/17

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