Reinforcement Learning Integrated with a Non-Markovian Controller. - Istvan Szita; Bálint Takács; András Lörincz (ECAI, 2002)

Searching for Plannable Domains can Speed up Reinforcement Learning - Istvan Szita; Bálint Takács; András Lörincz (CoRR, 2002)

MDPs: Learning in Varying Environments. - Istvan Szita; Bálint Takács; András Lörincz (J. Mach. Learn. Res., 2002)

Event-learning and robust policy heuristics. - András Lörincz; Imre Pólik; Istvan Szita (Cogn. Syst. Res., 2003)

Temporal plannability by variance of the episode length - Bálint Takács; Istvan Szita; András Lörincz (CoRR, 2003)

Kalman filter control in the reinforcement learning framework - Istvan Szita; András Lörincz (CoRR, 2003)

Reinforcement Learning with Linear Function Approximation and LQ control Converges - Istvan Szita; András Lörincz (CoRR, 2003)

Simple algorithm for recurrent neural networks that can learn sequence completion. - Istvan Szita; András Lorincz (IJCNN, 2004)

An algorithm for finding reliably schedulable plans. - Bálint Takács; Istvan Szita; András Lorincz (IJCNN, 2004)

Applying Policy Iteration for Training Recurrent Neural Networks - Istvan Szita; András Lörincz (CoRR, 2004)

Kalman Filter Control Embedded into the Reinforcement Learning Framework. - Istvan Szita; András Lörincz (Neural Comput., 2004)

Reinforcement Learning with Echo State Networks. - Istvan Szita; Viktor Gyenes; András Lörincz (ICANN (1), 2006)

Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs - Istvan Szita; András Lörincz (CoRR, 2006)

PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities. - István Szita; András Lörincz (Neurocomputing, 2006)

Learning Tetris Using the Noisy Cross-Entropy Method. - Istvan Szita; András Lörincz (Neural Comput., 2006)

Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man. - Istvan Szita; András Lörincz (J. Artif. Intell. Res., 2007)

Monte-Carlo Tree Search: A New Framework for Game AI. - Guillaume Chaslot; Sander Bakkes; Istvan Szita; Pieter Spronck (AIIDE, 2008)

The many faces of optimism: a unifying approach. - Istvan Szita; András Lörincz (ICML, 2008)

Factored Value Iteration Converges. - Istvan Szita; András Lörincz (Acta Cybern., 2008)

Online variants of the cross-entropy method - Istvan Szita; András Lörincz (CoRR, 2008)

The many faces of optimism - Extended version - Istvan Szita; András Lörincz (CoRR, 2008)

Cross-Entropy for Monte-Carlo Tree Search. - Guillaume Chaslot; Mark H. M. Winands; Istvan Szita; H. Jaap van den Herik (J. Int. Comput. Games Assoc., 2008)

Megerősítéses tanulás komplex környezetekben - István Szita (2008)

Monte-Carlo Tree Search in Settlers of Catan. - Istvan Szita; Guillaume Chaslot; Pieter Spronck (ACG, 2009)

Optimistic initialization and greediness lead to polynomial time learning in factored MDPs. - Istvan Szita; András Lörincz (ICML, 2009)

Exploring compact reinforcement-learning representations with linear regression. - Thomas J. Walsh 001; Istvan Szita; Carlos Diuk; Michael L. Littman (UAI, 2009)

Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version - Istvan Szita; András Lörincz (CoRR, 2009)

Effective and Diverse Adaptive Game AI. - Istvan Szita; Marc J. V. Ponsen; Pieter Spronck (IEEE Trans. Comput. Intell. AI Games, 2009)

Model-based reinforcement learning with nearly tight exploration complexity bounds. - Istvan Szita; Csaba Szepesvári (ICML, 2010)

Agnostic KWIK learning and efficient approximate reinforcement learning. - István Szita; Csaba Szepesvári (COLT, 2011)

Reinforcement Learning in Games. - István Szita (Reinforcement Learning, 2012)