Các bài viết có thể truy cập công khai - Wheeler RumlTìm hiểu thêm
Có tại một số nơi: 40
Design galleries: A general approach to setting parameters for computer graphics and animation
J Marks, B Andalman, PA Beardsley, W Freeman, S Gibson, J Hodgins, ...
Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 73-84, 2023
Các cơ quan ủy nhiệm: US National Science Foundation
Eecbs: A bounded-suboptimal search for multi-agent path finding
J Li, W Ruml, S Koenig
Proceedings of the AAAI conference on artificial intelligence 35 (14), 12353 …, 2021
Các cơ quan ủy nhiệm: US National Science Foundation
Avoiding dead ends in real-time heuristic search
B Cserna, W Doyle, J Ramsdell, W Ruml
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Temporal planning while the clock ticks
M Cashmore, A Coles, B Cserna, E Karpas, D Magazzeni, W Ruml
Proceedings of the International Conference on Automated Planning and …, 2018
Các cơ quan ủy nhiệm: European Commission
Effective heuristics for suboptimal best-first search
C Wilt, W Ruml
Journal of Artificial Intelligence Research 57, 273-306, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
Allocating planning effort when actions expire
SS Shperberg, A Coles, B Cserna, E Karpas, W Ruml, SE Shimony
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2371-2378, 2019
Các cơ quan ủy nhiệm: US National Science Foundation, European Commission
Planning time to think: Metareasoning for on-line planning with durative actions
B Cserna, W Ruml, J Frank
Proceedings of the International Conference on Automated Planning and …, 2017
Các cơ quan ủy nhiệm: US National Science Foundation
Multi-agent path finding for precedence-constrained goal sequences
H Zhang, J Chen, J Li, B Williams, S Koenig
International Joint Conference on Autonomous Agents and Multiagent Systems …, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Beam search: faster and monotonic
S Lemons, CL López, RC Holte, W Ruml
Proceedings of the International Conference on Automated Planning and …, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Solving large problems with heuristic search: General-purpose parallel external-memory search
M Hatem, E Burns, W Ruml
Journal of Artificial Intelligence Research 62, 233-268, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
An effort bias for sampling-based motion planning
S Kiesel, T Gu, W Ruml
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Các cơ quan ủy nhiệm: US National Science Foundation
PATHATTACK: attacking shortest paths in complex networks
BA Miller, Z Shafi, W Ruml, Y Vorobeychik, T Eliassi-Rad, S Alfeld
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Situated planning for execution under temporal constraints
M Cashmore, AI Coles, B Cserna, E Karpas, D Magazzeni, W Ruml
Proceedings of the AAAI 2018 Spring Symposium on Integrating Representation …, 2018
Các cơ quan ủy nhiệm: European Commission
Anytime versus real-time heuristic search for on-line planning
B Cserna, M Bogochow, S Chambers, M Tremblay, S Katt, W Ruml
Proceedings of the International Symposium on Combinatorial Search 7 (1 …, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
New results in bounded-suboptimal search
M Fickert, T Gu, W Ruml
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10166 …, 2022
Các cơ quan ủy nhiệm: US National Science Foundation, German Research Foundation
Beliefs we can believe in: Replacing assumptions with data in real-time search
M Fickert, T Gu, L Staut, W Ruml, J Hoffmann, M Petrik
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9827-9834, 2020
Các cơ quan ủy nhiệm: German Research Foundation
Trading plan cost for timeliness in situated temporal planning
SS Shperberg, A Coles, E Karpas, SE Shimony, W Ruml
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, European Commission
Goal reasoning as multilevel planning
A Paredes, W Ruml
Proceedings of the ICAPS-17 Workshop on Integrated Execution of Planning and …, 2017
Các cơ quan ủy nhiệm: US National Science Foundation
A bayesian effort bias for sampling-based motion planning
S Kiesel, W Ruml
Planning and Robotics Workshop (ICAPS-PlanRob16), 2016
Các cơ quan ủy nhiệm: US National Science Foundation
Attacking shortest paths by cutting edges
BA Miller, Z Shafi, W Ruml, Y Vorobeychik, T Eliassi-Rad, S Alfeld
ACM Transactions on Knowledge Discovery from Data 18 (2), 1-42, 2023
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
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