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Results: 89
Number of items: 89
  • Open Access
    van Seijen, H. H. (2011). Reinforcement learning under space and time constraints. [Thesis, fully internal, Universiteit van Amsterdam].
  • Bakker, B., Whiteson, S., Kester, L., & Groen, F. C. A. (2010). Traffic light control by multiagent reinforcement learning systems. In R. Babuška, & F. C. A. Groen (Eds.), Interactive collaborative information systems (pp. 475-510). (Studies in computational intelligence; No. 281). Springer. https://doi.org/10.1007/978-3-642-11688-9_18
  • Whiteson, S. (2010). Adaptive representations for reinforcement learning. (Studies in computational intelligence; Vol. 291). Springer. https://doi.org/10.1007/978-3-642-13932-1
  • van Seijen, H., Whiteson, S., & Kester, L. (2010). Switching between representations in reinforcement learning. In R. Babuška, & F. C. A. Groen (Eds.), Interactive collaborative information systems (pp. 65-84). (Studies in computational intelligence; No. 281). Springer. https://doi.org/10.1007/978-3-642-11688-9_3
  • Open Access
    Whiteson, S., Taylor, M. E., & Stone, P. (2010). Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning. Autonomous Agents and Multi-Agent Systems, 21(1), 1-35. https://doi.org/10.1007/s10458-009-9100-2
  • Snel, M., & Whiteson, S. (2010). Multi-task evolutionary shaping without pre-specified representations. In J. Branke (Ed.), GECCO 2010: Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1031-1038). ACM. http://doi.acm.org/10.1145/1830483.1830671
  • Whiteson, S., Tanner, B., & White, A. (2010). The Reinforcement Learning Competitions. The AI Magazine, 31(2), 81-94. https://doi.org/10.1609/aimag.v31i2.2227
  • Open Access
    Koppejan, R., & Whiteson, S. (2009). Neuroevolutionary reinforcement learning for generalized helicopter control. In Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference (GECCO 2009) (pp. 145-152). ACM. http://doi.acm.org/10.1145/1569901.1569922
  • Aaltonen, T., et al., U., & Whiteson, S. (2009). Measurement of the top-quark mass with dilepton events selected using neuroevolution at CDF. Physical Review Letters, 102(15), 152001. https://doi.org/10.1103/PhysRevLett.102.152001
  • Whiteson, S., & Whiteson, D. (2009). Machine learning for event selection in high energy physics. Engineering Applications of Artificial Intelligence, 22(8), 1203-1217. https://doi.org/10.1016/j.engappai.2009.05.004
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