Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities | Zendy

Hugo Gilbert | Zendy; Bruno Zanuttini | Zendy; Paolo Viappiani | Zendy; Paul Weng | Zendy; Esther Nicart | Zendy

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Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities

Author(s) -

Hugo Gilbert,

Bruno Zanuttini,

Paolo Viappiani,

Paul Weng,

Esther Nicart

Publication year - 2016

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

Subject(s) - reinforcement learning , computer science , skew , adaptation (eye) , bilinear interpolation , von neumann architecture , convergence (economics) , q learning , decision maker , expected utility hypothesis , mathematical optimization , variety (cybernetics) , reinforcement , function (biology) , decision theory , artificial intelligence , mathematical economics , mathematics , operations research , economics , engineering , telecommunications , computer vision , statistics , physics , structural engineering , evolutionary biology , optics , biology , economic growth , operating system

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