Hado van Hasselt
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- Hado van Hasselt (2012).
"Reinforcement Learning in Continuous State and Action Spaces".
In: Reinforcement Learning: State of the Art, Springer.
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- Harm van Seijen, Shimon Whiteson, Hado van Hasselt, and Marco Wiering (2011).
"Exploiting Best-Match Equations for Efficient Reinforcement Learning".
Journal of Machine Learning Research, volume 12, pp. 2045-2094.
Note: The PDF at JMLR does not embed all fonts, which may cause some symbols to display incorrectly on some computers. The PDF linked above solves this issue.
- Marco A. Wiering, Hado van Hasselt, Auke-Dirk Pietersma, Lambert Schomaker (2011).
"Reinforcement Learning Algorithms for solving Classification Problems."
Proceedings of IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2011), Paris, France, pp. 91-96.
- Hado van Hasselt (2011).
"Insights in Reinforcement Learning".
Ph.D. thesis, Utrecht University.
- Hado van Hasselt (2010).
"Double Q-learning". Advances in Neural Information Processing Systems 23 (NIPS 2010), Vancouver, British Columbia, Canada, pp. 2613-2622.
Note: Supplementary material and source code and a poster presentation is available for this article.
- Hado van Hasselt and Marco Wiering (2009).
"Using Continuous Action Spaces to Solve Discrete Problems". Proceedings of the International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, GA, USA.
- Harm van Seijen, Hado van Hasselt, Shimon Whiteson, and Marco Wiering (2009).
"A Theoretical and Empirical Analysis of Expected Sarsa". Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009), pp. 177-184.
- Marco Wiering and Hado van Hasselt (2009).
"The QV Family Compared to Other Reinforcement Learning Algorithms". Proceedings of IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2009), Nashville, USA.
- Joost Westra, Hado van Hasselt, Frank Dignum and Virginia Dignum (2009).
"Adaptive Serious Games Using Agent Organizations". In F.P.M. Dignum, J.M. Bradshaw, BG Silverman & W..A. Doesburg (Eds.), Agents for Games and Simulations, pp. 206-220. Berlin / Heidelberg: Springer.
- Marco Wiering and Hado van Hasselt (2008).
"Ensemble Algorithms in Reinforcement Learning". In: IEEE Transactions, SMC Part B, special issue on Adaptive Dynamic Programming and Reinforcement Learning in Feedback Control. August 2008. pp. 930-936.
- Joost Westra, Hado van Hasselt, Virginia Dignum and Frank Dignum (2008). "On-line Adapting Games Using Agent Organizations". Proceedings of IEEE Symposium on Computational Intelligence and Games (CIG 2008), Perth, Australia.
- Hado van Hasselt and Marco Wiering (2007).
"Reinforcement Learning in Continuous Action Spaces". Proceedings of IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Honolulu, HI, USA, pp. 272-279.
Note: This paper introduces the Cacla algorithm.
- Hado van Hasselt and Marco Wiering (2007).
"Convergence of Model-Based Temporal Difference Learning for Control". Proceedings of IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Honolulu, HI, USA, pp. 60-67.
- Marco Wiering and Hado van Hasselt (2007).
"Two Novel On-policy Reinforcement Learning Algorithms based on TD(lambda)-methods.pdf". Proceedings of IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Honolulu, HI, USA, pp. 280-287.