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Publications of Ronald Parr    :chronological  alphabetical  combined  bibtex listing:

Journal articles or Book chapters PUBLISHED

  1. Asadi, K; Parikh, N; Parr, RE; Konidaris, GD; Littman, ML, Deep Radial-Basis Value Functions for Continuous Control, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 8A (January, 2021), pp. 6696-6704  [abs]

Conference articles PUBLISHED

  1. Semenova, L; Rudin, C; Parr, R, On the Existence of Simpler Machine Learning Models, ACM International Conference Proceeding Series (June, 2022), pp. 1827-1858, ISBN 9781450393522 [doi]  [abs]
  2. Nemecek, M; Parr, R, Policy Caches with Successor Features, Proceedings of Machine Learning Research, vol. 139 (January, 2021), pp. 8025-8033, ISBN 9781713845065  [abs]
  3. Song, Z; Parr, RE; Carin, L, Revisiting the softmax bellman operator: New benefits and new perspective, 36th International Conference on Machine Learning, ICML 2019, vol. 2019-June (January, 2019), pp. 10368-10383, ISBN 9781510886988  [abs]
  4. Letchford, J; MacDermed, L; Conitzer, V; Parr, R; Isbell, CL, Computing Optimal Strategies to Commit to in Stochastic Games, Proceedings of the 26th AAAI Conference on Artificial Intelligence, AAAI 2012, vol. 2 (January, 2012), pp. 1380-1386  [abs]
  5. Pazis, J; Parr, R, Non-Parametric Approximate Linear Programming for MDPs, Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011, vol. 1 (August, 2011), pp. 459-464, ISBN 9781577355083 [repository]  [abs]
  6. Korzhyk, D; Conitzer, V; Parr, R, Complexity of Computing Optimal Stackelberg Strategies in Security Resource Allocation Games, Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010, vol. 2 (July, 2010), pp. 805-810, ISBN 9781577354642  [abs]
  7. Johns, J; Painter-Wakefield, C; Parr, R, Linear complementarity for regularized policy evaluation and improvement, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010 (January, 2010), ISBN 9781617823800  [abs]
  8. Lagoudakis, MG; Parr, R, Learning in Zero-Sum Team Markov Games Using Factored Value Functions, NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems (January, 2002), pp. 1627-1634, ISSN 1049-5258, ISBN 9780262025508  [abs] [author's comments]
  9. Lipyeow Lim, Min Wang, Sriram Padmanabhan, Jeffrey Scott Vitter, Ronald Parr, XPathLearner: An On-Line Self-Tuning Markov Histogram for XML Path Selectivity Estimation, VLDB (2002)  [author's comments]
  10. Carlos Guestrin, Michail Lagoudakis,and Ronald Parr, Coordinated Reinforcement Learning, The Nineteenth International Conference on Machine Learning (ICML 2002) (2002)  [author's comments]
  11. Michail Lagoudakis and Ronald Parr, Value Function Approximation in Zero-Sum Markov Games, Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence (UAI 2002) (2002)  [author's comments]
  12. Lagoudakis, MG; Littman, ML; Parr, RE, Selecting the Right Algorithm, AAAI Fall Symposium - Technical Report, vol. FS-01-04 (January, 2001), pp. 74-75
  13. Uri Lerner, Ronald Parr, Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms, Uncertainty in Artificial Intelligence, Proceedings of the Seventeenth Conference (UAI 2001) (2001) (Joint winner of best student paper award (student first author).)
  14. Chajewska, U; Koller, D; Parr, R, Making Rational Decisions using Adaptive Utility Elicitation, Proceedings of the 17th National Conference on Artificial Intelligence and 12th Conference on Innovative Applications of Artificial Intelligence, AAAI 2000 (January, 2000), pp. 363-369, ISBN 9780262511124  [abs]
  15. Lerner, U; Parr, R; Koller, D; Biswas, G, Bayesian Fault Detection and Diagnosis in Dynamic Systems, Proceedings of the 17th National Conference on Artificial Intelligence and 12th Conference on Innovative Applications of Artificial Intelligence, AAAI 2000 (January, 2000), pp. 531-537, ISBN 9780262511124  [abs]
  16. Daphne Koller and Ronald Parr, Policy Iteration for Factored MDPs, Uncertainty in Artificial Intelligence, Proceedings of the Sixteenth Conference (UAI) (2000)
  17. Ronald Parr, Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems, Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998)
  18. Parr, R; Russell, S, Approximating Optimal Policies for Partially Observable Stochastic Domains, IJCAI International Joint Conference on Artificial Intelligence, vol. 2 (January, 1995), pp. 1088-1094  [abs]
  19. David Andre, Nir Friedman, Ronald Parr, Generalized Prioritized Sweeping, Neural Information Processing Systems (1995)
  20. Stuart Russell, Devika Subramanian, Ronald Parr, Provably Bounded Optimal Agents, Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (1993)

Workshop abstract or talk (no official publication)

  1. Robert Givan and Ronald Parr, An Introduction to Markov Decision Processes, Invited Talk at Dagstuhl Seminar 03201 on Probabilistic Methods in Verification and Planning (2003)
  2. Ronald Parr, Linear value function approximation for MDPs and Markov Games, Dagstuhl Seminar 03201 on Probabilistic Methods in Verification and Planning (2003)
  3. Ronald Parr, Linear value function approximation for MDPs and Markov Games, LICS 2003 Workshop on Probability in AI (invited talk) (2003)