István Szita, a Hungarian computer scientist with a Ph.D. from Neural Information Processing Group at Eötvös Loránd University [1], and postdoc in artificial intelligence at Maastricht University and the RL3 group [2] of Rutgers University. His research interests include reinforcement learning, games, and recurrent neural nets.
István Szita [3]

Selected Publications

2006 ...

• István Szita, András Lőrincz (2006). Learning Tetris Using the Noisy Cross-Entropy Method. Neural Computation 18, pdf ^[6]
• István Szita (2007). Rewarding Excursions: Extending Reinforcement Learning to Complex Domains. Ph.D. thesis, supervisor András Lőrincz, Eötvös Loránd University, pdf
• Guillaume Chaslot, Sander Bakkes, István Szita, Pieter Spronck (2008). Monte-Carlo Tree Search: A New Framework for Game AI. pdf
• Guillaume Chaslot, Mark Winands, István Szita, Jaap van den Herik. (2008). Cross-entropy for Monte-Carlo Tree Search. ICGA Journal, Vol. 31, No. 3, pdf
• István Szita, Marc Ponsen, Pieter Spronck (2008). Keeping Adaptive Game AI interesting. CGames 2008, pdf draft, pdf
• István Szita, András Lőrincz (2008). The Many Faces of Optimism: a Unifying Approach. ICML 2008, pdf ^[7]
• István Szita, Guillaume Chaslot, Pieter Spronck (2009). Monte-Carlo Tree Search in Settlers of Catan. Advances in Computer Games 12, pdf ^[8]

2010 ...

• István Szita, Csaba Szepesvári (2010). Model-based reinforcement learning with nearly tight exploration complexity bounds. ICML 2010
• István Szita, Csaba Szepesvári (2011). Agnostic KWIK learning and efficient approximate reinforcement learning. Journal of Machine Learning Research - Proceedings Track 19
• István Szita (2012). Reinforcement Learning in Games. in Marco Wiering, Martijn Van Otterlo (2012). Reinforcement learning: State-of-the-art. Adaptation, Learning, and Optimization, Vol. 12, Springer

External Links

• István Szita - Research Projects
• Istvan Szita | Facebook
• Istvan Szita - Eötvös Loránd University - videolectures.net

References

1. ^ István Szita (2007). Rewarding Excursions: Extending Reinforcement Learning to Complex Domains. Ph.D. thesis, supervisor András Lőrincz, Eötvös Loránd University, pdf
2. ^ RL3, Rutgers Laboratory for Real-Life Reinforcement Learning
3. ^ Istvan Szita | Facebook
4. ^ István Szita - Publications
5. ^ DBLP: István Szita
6. ^ Tetris from Wikipedia
7. ^ The Many Faces of Optimism: a Unifying Approach - videolectures.net
8. ^ The Settlers of Catan from Wikipedia

What links here?