Istvan Szita

Publication Activity (10 Years)

Years Active: 2002-2012
Publications (10 Years): 0

Top Topics

Linear Regression

Function Approximators

Probability Models

Markov Decision Processes

Top Venues

Publications

Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
Exploring compact reinforcement-learning representations with linear regression CoRR (2012)
Istvan Szita, Csaba Szepesvári
Model-based reinforcement learning with nearly tight exploration complexity bounds. ICML (2010)
Istvan Szita, András Lörincz
Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version CoRR (2009)
Istvan Szita, Guillaume Chaslot, Pieter Spronck
Monte-Carlo Tree Search in Settlers of Catan. ACG (2009)
Istvan Szita, Marc J. V. Ponsen, Pieter Spronck
Effective and Diverse Adaptive Game AI. IEEE Trans. Comput. Intell. AI Games 1 (1) (2009)
Istvan Szita, András Lörincz
Optimistic initialization and greediness lead to polynomial time learning in factored MDPs. ICML (2009)
Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
Exploring compact reinforcement-learning representations with linear regression. UAI (2009)
Guillaume Chaslot, Mark H. M. Winands, Istvan Szita, H. Jaap van den Herik
Cross-Entropy for Monte-Carlo Tree Search. J. Int. Comput. Games Assoc. 31 (3) (2008)
Istvan Szita, András Lörincz
Factored Value Iteration Converges CoRR (2008)
Istvan Szita, András Lörincz
The many faces of optimism - Extended version CoRR (2008)
Istvan Szita, András Lörincz
Factored Value Iteration Converges. Acta Cybern. 18 (4) (2008)
Istvan Szita, András Lörincz
The many faces of optimism: a unifying approach. ICML (2008)
Istvan Szita, András Lörincz
Online variants of the cross-entropy method CoRR (2008)
Guillaume Chaslot, Sander Bakkes, Istvan Szita, Pieter Spronck
Monte-Carlo Tree Search: A New Framework for Game AI. AIIDE (2008)
Istvan Szita, András Lörincz
Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man. J. Artif. Intell. Res. 30 (2007)
Istvan Szita, András Lörincz
Learning Tetris Using the Noisy Cross-Entropy Method. Neural Comput. 18 (12) (2006)
Istvan Szita, Viktor Gyenes, András Lörincz
Reinforcement Learning with Echo State Networks. ICANN (1) (2006)
Istvan Szita, András Lörincz
Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs CoRR (2006)
Istvan Szita, András Lörincz
Applying Policy Iteration for Training Recurrent Neural Networks CoRR (2004)
Istvan Szita, András Lörincz
Kalman Filter Control Embedded into the Reinforcement Learning Framework. Neural Comput. 16 (3) (2004)
András Lörincz, Imre Pólik, Istvan Szita
Event-learning and robust policy heuristics. Cogn. Syst. Res. 4 (4) (2003)
Istvan Szita, András Lörincz
Reinforcement Learning with Linear Function Approximation and LQ control Converges CoRR (2003)
Bálint Takács, Istvan Szita, András Lörincz
Temporal plannability by variance of the episode length CoRR (2003)
Istvan Szita, András Lörincz
Kalman filter control in the reinforcement learning framework CoRR (2003)
Istvan Szita, Bálint Takács, András Lörincz
Searching for Plannable Domains can Speed up Reinforcement Learning CoRR (2002)
Istvan Szita, Bálint Takács, András Lörincz
Reinforcement Learning Integrated with a Non-Markovian Controller. ECAI (2002)
Istvan Szita, Bálint Takács, András Lörincz
MDPs: Learning in Varying Environments. J. Mach. Learn. Res. 3 (2002)