International Conference on Machine Learning, ICML 2016


Article Details
Title: Softened Approximate Policy Iteration for Markov Games
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Authors: Julien PĂ©rolat
  • Univ. Lille - CRIStAL, F-59000 Lille, France
  • Inria UMR 9189- CRIStAL, F-59000 Lille, France
  • CNRS- CRIStAL, F-59000 Lille, France
Bilal Piot
  • Univ. Lille- CRIStAL, F-59000 Lille, France
  • CNRS- CRIStAL, F-59000 Lille, France
  • Centrale Lille- CRIStAL, F-59000 Lille, France
  • Inria UMR 9189 - CRIStAL, F-59000 Lille, France
Matthieu Geist
  • UMI 2958
  • GeorgiaTech-CNRS
  • CentraleSupelec
  • Universit e Paris-Saclay, Metz, France
Bruno Scherrer
  • Inria, France
  • Villers-les-Nancy, France
  • F-54600, France
Olivier Pietquin
  • Institut Universitaire de France (IUF), France
  • Univ. Lille - CRIStAL, F-59000 Lille, France
  • Inria UMR 9189 - CRIStAL, F-59000 Lille, France
  • Centrale Lille - CRIStAL, F-59000 Lille, France
  • CNRS - CRIStAL, F-59000 Lille, France
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DBLP Key: conf/icml/PerolatPGSP16
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