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النتائج لكل صفحة: 10
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Collection : Universite De Lille 3 - Sciences Humaines Et Sociales
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Conference

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization

Subjects: reinforcement learning; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Bristol; United KingdomBristol, United Kingdom

  • Source: Machine Learning and Knowledge Discovery in Databases ; European Conference on Machine Learning ; https://inria.hal.science/hal-00747729 ; European Conference on Machine Learning, Sep 2012, Bristol,

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Conference

Boosted Bellman Residual Minimization Handling Expert Demonstrations

Subjects: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Nancy; France

  • Source: Machine Learning and Knowledge Discovery in Databases ; European Conference, ECML PKDD 2014 ; https://centralesupelec.hal.science/hal-01060953 ; European Conference, ECML PKDD 2014, Sep 2014, Nancy,

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Conference

Optimistic planning for belief-augmented Markov decision processes

Subjects: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Singapour; Singapore

  • Source: IEEE International Symposium on Adaptive Dynamic Programming and reinforcement Learning, ADPRL 2013 ; https://hal.science/hal-00840202 ; IEEE International Symposium on Adaptive Dynamic Programming

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Conference

Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning

Subjects: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Atlanta; USA; United States

  • Source: ICML - 30th International Conference on Machine Learning ; https://inria.hal.science/hal-00778586 ; ICML - 30th International Conference on Machine Learning, 2013, Atlanta, USA, United States.

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Academic Journal

Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

  • Source: ISSN: 0885-6125.

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Academic Journal

Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path

Subjects: Reinforcement learning; Policy iteration; Bellman-residual minimization

  • Source: ISSN: 0885-6125.

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Report

Reinforcement Learning with a Near Optimal Rate of Convergence

Subjects: [SCCO.COMP]Cognitive science/Computer science

  • Source: https://inria.hal.science/inria-00636615 ; [Technical Report] 2011.

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Report

Finite Time Bounds for Sampling-Based Fitted Value Iteration

Subjects: Dynamic programming; Reinforcement learning; Statistical learning

  • Source: https://inria.hal.science/inria-00120882 ; [Research Report] 2007, pp.46.

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Conference

Optimistic planning in Markov decision processes using a generative model

Subjects: [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]MontréalMontréal, Canada

  • Source: Advances in Neural Information Processing Systems 27 ; https://inria.hal.science/hal-01079366 ; Advances in Neural Information Processing Systems 27, Dec 2014, Montréal, Canada

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Conference

Online Learning in Episodic Markovian Decision Processes by Relative Entropy Policy Search

Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Lake Tahoe; United States

  • Source: Neural Information Processing Systems 26 ; https://hal.science/hal-01079423 ; Neural Information Processing Systems 26, Dec 2013, Lake Tahoe, United States

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