Istvan Szita - RankMe

29 papers A* 3A 2B 2Journal 19Unranked 3

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