Csaba Szepesvári


Ontology type: schema:Person     


Person Info

NAME

Csaba

SURNAME

Szepesvári

Publications in SciGraph latest 50 shown

  • 2014 On Learning the Optimal Waiting Time in ALGORITHMIC LEARNING THEORY
  • 2013-06 Alignment based kernel learning with a continuous set of base kernels in MACHINE LEARNING
  • 2012 Partial Monitoring with Side Information in ALGORITHMIC LEARNING THEORY
  • 2012 Invited Talk: Towards Robust Reinforcement Learning Algorithms in RECENT ADVANCES IN REINFORCEMENT LEARNING
  • 2011-12 Model selection in reinforcement learning in MACHINE LEARNING
  • 2011 Editors’ Introduction in ALGORITHMIC LEARNING THEORY
  • 2010 Toward a Classification of Finite Partial-Monitoring Games in ALGORITHMIC LEARNING THEORY
  • 2009-12 Training parsers by inverse reinforcement learning in MACHINE LEARNING
  • 2008-04 Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path in MACHINE LEARNING
  • 2008 Regularized Fitted Q-Iteration: Application to Planning in RECENT ADVANCES IN REINFORCEMENT LEARNING
  • 2008 Active Learning in Multi-armed Bandits in ALGORITHMIC LEARNING THEORY
  • 2008 Active Learning of Group-Structured Environments in ALGORITHMIC LEARNING THEORY
  • 2007 Tuning Bandit Algorithms in Stochastic Environments in ALGORITHMIC LEARNING THEORY
  • 2007 Improved Rates for the Stochastic Continuum-Armed Bandit Problem in LEARNING THEORY
  • 2006-06 Universal parameter optimisation in games based on SPSA in MACHINE LEARNING
  • 2006 RSPSA: Enhanced Parameter Optimization in Games in ADVANCES IN COMPUTER GAMES
  • 2006 Bandit Based Monte-Carlo Planning in MACHINE LEARNING: ECML 2006
  • 2006 Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path in LEARNING THEORY
  • 2004 Margin Maximizing Discriminant Analysis in MACHINE LEARNING: ECML 2004
  • 2004 Enhancing Particle Filters Using Local Likelihood Sampling in COMPUTER VISION - ECCV 2004
  • 2000-06-09 Modular Reinforcement Learning: An Application to a Real Robot Task in LEARNING ROBOTS
  • 2000-03 Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms in MACHINE LEARNING
  • 2000 FlexVoice: A Parametric Approach to High-Quality Speech Synthesis in TEXT, SPEECH AND DIALOGUE
  • 1998-07 Module-Based Reinforcement Learning: Experiments with a Real Robot in AUTONOMOUS ROBOTS
  • 1998-04 Module-Based Reinforcement Learning: Experiments with a Real Robot in MACHINE LEARNING
  • 1998 Automated Detection and Classification of Micro-Calcifications in Mammograms Using Artifical Neural Nets in DIGITAL MAMMOGRAPHY
  • 1998 Performance-Evaluation for Automated Detection of Microcalcifications in Mammograms Using Three Different Film-Digitizers in DIGITAL MAMMOGRAPHY
  • 1997 Learning and exploitation do not conflict under minimax optimality in MACHINE LEARNING: ECML-97
  • 1996 Inverse dynamics controllers for robust control: Consequences for neurocontrollers in ARTIFICIAL NEURAL NETWORKS — ICANN 96
  • 1994 Self-Organized Learning of 3 Dimensions in ICANN ’94
  • 1993 Topology Learning Solved by Extended Objects: A Neural Network Model in ICANN ’93
  • 1993 Integration of Artificial Neural Networks and Dynamic Concepts to an Adaptive and Self-Organizing Agent in ICANN ’93
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