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m1r2017

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m1r2017 [2025/03/05 17:47]
47.128.52.24 old revision restored (2025/01/01 18:59)
m1r2017 [2025/03/07 18:03] (current)
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Line 9: Line 9:
   * cours David Silver : [[http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Teaching.html]]   * 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]]   * 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]] 
-    
  
 === App Constructiviste === === App Constructiviste ===
Line 29: Line 20:
 ===== Mémentos  ===== ===== Mémentos  =====
  
-==== App Constructiviste ====+=== App Constructiviste ===
    * [[compte-rendu-etat-art-these | Etat de l'art (Thèse S. Mazac)]]    * [[compte-rendu-etat-art-these | Etat de l'art (Thèse S. Mazac)]]
  
-==== RL ===+===RL et Inspirations Constructivistes===
-=== 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 (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]]]    * [[memento-Intrinsically-Motivated-RL | Intrinsically Motivated RL [Singh2005]]]
  
-==== Value function approximation ====+=== Value function approximation === 
    * [[memento-Value-function-approximation | Quelques infos]]    * [[memento-Value-function-approximation | Quelques infos]]
  
-==== Temporal Difference - Growing Neural Gas ===+=== Temporal Difference - Growing Neural Gas ===
-   * [[memento-td-gng | TD-GNG]]+
  
-===== Réflexions  ===== +   * [[memento-td-gng | TD-GNG]]
-   * [[reflexion-gng-qc CQ-Learning et TD-GNG]]+
  
-===== Comptes-rendu de réunion  ===== 
  
-Dossier contenant les tous les slides présentés lors des réunions : 
-[[https://drive.google.com/drive/folders/0B7dh6En0bP-KakRNYllvOVN3N2c | slides]] 
  
-   * [[ reu02-03-17 |02/03/17]] 
-   * 14/03/17 
m1r2017.1741193252.txt.gz · Last modified: 2025/03/05 17:47 by 47.128.52.24