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Publications by Müller, Martin

In Journal (refereed)

1. I. Wu, C. Lee, Y. Tian, M. Müller. "Guest editorial". IEEE Transactions on Games, 10(4), pp 333-335, December 2018. view
2. C. Gao, R. Hayward, M. Müller. "Move Prediction Using Deep Convolutional Neural Networks in Hex". IEEE Transactions on Games, 10(4), pp 336 - 343, December 2018. view
3. C. Gao, S. Yan, R. Hayward, M. Müller. "A Transferable Neural Network for Hex". Journal of the International Computer Games Association (ICGA), 40(3), pp 224-233, June 2018. view
4. J. Schaeffer, M. Müller, A. Kishimoto. "Go-bot, Go". IEEE Spectrum, 51(7), pp 48-53, July 2014. view
5. J. Song, M. Müller. "An Enhanced Solver for the Game of Amazons". IEEE Transactions on Computational Intelligence and AI in Games, 7(1), pp 16-27, March 2014. view
6. H. Nakhost, M. Müller. "Towards a Theory of Random Walk Planning: Regress Factors, Fair Homogeneous Graphs, and Extensions". AI Communications, 27(4), pp 329-344, January 2014. PDFview
7. S. Fernando, M. Müller. "Analyzing Simulations in Monte Carlo Tree Search for the Game of Go". Computers and Games, pp 72-83, January 2013. view
8. S. Huang, B. Arneson, R. Hayward, M. Müller. "MoHex 2.0: a pattern-based MCTS Hex player". Computers and Games, pp 39-48, January 2013. PDFview

In Conference (refereed)

9. M. Chowdhury, M. Müller, J. You. "Guiding CDCL SAT Search via Random Exploration amid Conflict Depression". National Conference on Artificial Intelligence (AAAI), pp 1428-1435, February 2020. PDFview
10. C. Xiao, J. Mei, R. Huang, D. Schuurmans, M. Müller. "Maximum Entropy Monte-Carlo Planning". Neural Information Processing Systems (NIPS), pp 9516-9524, December 2019. view
11. M. Chowdhury, M. Müller, J. You. "Exploiting Glue Clauses to Design Effective CDCL Branching Heuristics". International Conference on Principles and Practice of Constraint Programming (CP), Stamford, USA, (ed: Schiex T., de Givry S.), pp 126-143, September 2019. view
12. J. Mei, C. Xiao, R. Huang, D. Schuurmans, M. Müller. "On Principled Entropy Exploration in Policy Optimization". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 3130-3136, August 2019. PDFview
13. C. Gao, M. Müller, R. Hayward. "Three-Head Neural Network Architecture for Monte Carlo Tree Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Jérôme Lang), pp 3762-3768, July 2018. PDFview
14. M. Chowdhury, M. Müller, J. You. "GrandTour-obs Puzzle as a SAT Benchmark". SAT Competition, (ed: Heule , M J H , Järvisalo , M J & Suda , M), pp 59-60, June 2018. PDFview
15. G. Fan, R. Holte, M. Müller. "MS-Lite: A Lightweight, Complementary Merge-and-Shrink Method". ICAPS, pp 74-82, June 2018. view
16. C. Gao, M. Müller, R. Hayward. "Adversarial Policy Gradient for Alternating Markov Games". International Conference on Learning Representations, pp n/a, April 2018. PDFview
17. C. Xiao, J. Mei, M. Müller. "Memory-augmented Monte Carlo Tree Search". National Conference on Artificial Intelligence (AAAI), (ed: Sheila A. McIlraith, Kilian Q. Weinberger), pp 1455-1462, February 2018. PDFview
18. R. Huang, M. Ajallooeian, C. Szepesvari, M. Müller. "Structured Best Arm Identification with Fixed Confidence". Algorithmic Learning Theory (ALT), (ed: Steve Hanneke, Lev Reyzin), pp 593-616, October 2017. PDFview
19. G. Fan, M. Müller, R. Holte. "Additive Merge-and-Shrink Heuristics for Diverse Action Costs". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 4287-4293, August 2017. PDFview
20. C. Gao, M. Müller, R. Hayward. "Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 3668-3674, August 2017. PDFview
21. G. Fan, M. Müller, R. Holte. "The Two-Edged Nature of Diverse Action Costs". ICAPS, (ed: Laura Barbulescu, Jeremy Frank, Mausam, Stephen F. Smith), pp 98-106, June 2017. PDFview
22. C. Xiao, M. Müller. "Factorization Ranking Model for Move Prediction in the Game of Go". National Conference on Artificial Intelligence (AAAI), (ed: Dale Schuurmans, Michael P. Wellman), pp 1359-1365, February 2016. PDFview
23. F. Xie, M. Müller, R. Holte. "Understanding and Improving Local Exploration for GBFS". ICAPS, (ed: Ronen I. Brafman, Carmel Domshlak, Patrik Haslum, Shlomo Zilberstein), pp 244-248, June 2015. PDFview
24. Y. Zhang, M. Müller. "TDS+: Improving Temperature Discovery Search". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 1241-1247, January 2015. PDFview
25. G. Fan, M. Müller, R. Holte. "Non-Linear Merging Strategies for Merge-and-Shrink Based on Variable Interactions". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták:), pp 53-61, August 2014. PDFview
26. F. Xie, M. Müller, R. Holte. "Adding local exploration to greedy best-first search for satisficing planning". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 2388-2394, July 2014. PDFview
27. F. Xie, M. Müller, R. Holte, T. Imai. "Type-based exploration for satisficing planning with multiple search queues". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 2395-2402, June 2014. view
28. H. Nakhost, M. Müller. "Towards a Second Generation Random Walk Planner: an Experimental Exploration". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Francesca Rossi), pp 2336-2342, August 2013. PDFview
29. F. Xie, R. Valenzano, M. Müller. "Better Time Constrained Search via Randomization and Postprocessing". ICAPS, (ed: Daniel Borrajo, Subbarao Kambhampati, Angelo Oddi, Simone Fratini), pp 269-277, June 2013. PDFview
30. D. Silver, R. Sutton, M. Müller. "Temporal-Difference Search in Computer Go". ICAPS, (ed: Daniel Borrajo, Subbarao Kambhampati, Angelo Oddi, Simone Fratini), pp 486-487, June 2013. PDFview

In Workshop

31. C. Xiao, Y. Wu, D. Schuurmans, M. Müller. "Adaptive Planning Horizon for Model-Based Reinforcement Learning". NeurIPS Deep RL Workshops, December 2019. view
32. C. Xiao, Y. Wu, C. Ma, D. Schuurmans, M. Müller. "Learning to Combat Compounding-Error in Model-Based Reinforcement Learning". NeurIPS Deep RL Workshops, December 2019. PDFview
33. F. Haqiqat, M. Müller. "Analyzing the impact of knowledge and search in Monte Carlo Tree Search in Go". Workshop on Computer Games (CGW), Springer, 1017, pp 127-146, July 2018. view
34. C. Xiao, M. Müller. "Integrating Factorization Ranked Features in MCTS: an Experimental Study". Workshop on Computer Games (CGW), Springer, Cham, (ed: Cazenave T., Winands M., Edelkamp S., Schiffel S., Thielscher M., Togelius J.), 705, pp 34-43, July 2016. view
35. W. Chen, M. Müller. "Continuous Arvand: Motion Planning with Monte Carlo Random Walks". Workshop on Planning and Robotics, pp 23-34, June 2015. PDFview

Other Categories

36. M. Chowdhury, M. Müller, J. You. "Characterization of Glue Variables in CDCL SAT Solving". Technical Report, University of Alberta, (9), April 2019. PDFview
37. K. Yoshizoe, M. Müller. "Computer Go". Encyclopedia of Computer Graphics and Games, Springer International, (ed: N. Lee), pp 1-13, February 2016. view
38. F. Xie, M. Müller, R. Holte. "Jasper: the art of exploration in greedy best first search". The Eighth International Planning Competition, (ed: M. Vallati, L. Chrpa, and T. McCluskey), pp 39-42, June 2014. PDFview
39. F. Xie, R. Valenzano, M. Müller. "Better Time Constrained Search via Randomization and Postprocessing". Technical Report, University of Alberta, (TR 13-02), January 2013. PDFview
40. C. Hunt, M. Müller. "Fuegito: an Educational Software Package for Game Tree Search". Technical Report, University of Alberta, (TR13-03), January 2013. view
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