István Szita

Affiliations:
  • Rutgers University, Dept. of Computer Science, USA


According to our database1, István Szita authored at least 29 papers between 2002 and 2012.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2012
Reinforcement Learning in Games.
Proceedings of the Reinforcement Learning, 2012

2011
Agnostic KWIK learning and efficient approximate reinforcement learning.
Proceedings of the COLT 2011, 2011

2010
Model-based reinforcement learning with nearly tight exploration complexity bounds.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Effective and Diverse Adaptive Game AI.
IEEE Trans. Comput. Intell. AI Games, 2009

Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version
CoRR, 2009

Exploring compact reinforcement-learning representations with linear regression.
Proceedings of the UAI 2009, 2009

Optimistic initialization and greediness lead to polynomial time learning in factored MDPs.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Monte-Carlo Tree Search in Settlers of Catan.
Proceedings of the Advances in Computer Games, 12th International Conference, 2009

2008
Megerősítéses tanulás komplex környezetekben
PhD thesis, 2008

Cross-Entropy for Monte-Carlo Tree Search.
J. Int. Comput. Games Assoc., 2008

The many faces of optimism - Extended version
CoRR, 2008

Online variants of the cross-entropy method
CoRR, 2008

Factored Value Iteration Converges.
Acta Cybern., 2008

The many faces of optimism: a unifying approach.
Proceedings of the Machine Learning, 2008

Monte-Carlo Tree Search: A New Framework for Game AI.
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008

2007
Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man.
J. Artif. Intell. Res., 2007

2006
Learning Tetris Using the Noisy Cross-Entropy Method.
Neural Comput., 2006

PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities.
Neurocomputing, 2006

Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs
CoRR, 2006

Reinforcement Learning with Echo State Networks.
Proceedings of the Artificial Neural Networks, 2006

2004
Kalman Filter Control Embedded into the Reinforcement Learning Framework.
Neural Comput., 2004

Applying Policy Iteration for Training Recurrent Neural Networks
CoRR, 2004

2003
Reinforcement Learning with Linear Function Approximation and LQ control Converges
CoRR, 2003

Kalman filter control in the reinforcement learning framework
CoRR, 2003

Temporal plannability by variance of the episode length
CoRR, 2003

Event-learning and robust policy heuristics.
Cogn. Syst. Res., 2003

2002
MDPs: Learning in Varying Environments.
J. Mach. Learn. Res., 2002

Searching for Plannable Domains can Speed up Reinforcement Learning
CoRR, 2002

Reinforcement Learning Integrated with a Non-Markovian Controller.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002


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