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Michael Cashmore
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- affiliation: University of Strathclyde, UK
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2020 – today
- 2024
- [c29]Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. AAAI 2024: 20786-20793 - [c28]Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Temporal Fairness in Decision Making Problems. ECAI 2024: 1132-1139 - [i9]Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore:
Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. CoRR abs/2403.09925 (2024) - [i8]Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. CoRR abs/2403.16667 (2024) - [i7]Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Temporal Fairness in Decision Making Problems. CoRR abs/2408.13208 (2024) - 2023
- [c27]Andrew Murray, Ashwin Arulselvan, Michael Cashmore, Marc Roper, Jeremy Frank:
A Column Generation Approach to Correlated Simple Temporal Networks. ICAPS 2023: 295-303 - [c26]Stylianos Loukas Vasileiou, William Yeoh, Son Tran, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni:
A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract). IJCAI 2023: 6985-6989 - [c25]Andrew Murray, Ashwin Arulselvan, Marc Roper, Michael Cashmore, Swarup Kumar Mohalik, Ian Burdick, Sushanth David:
The Cost of Quality of Service: SLA Aware VNF Placement and Routing Using Column Generation. RNDM 2023: 1-8 - [i6]Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models. CoRR abs/2307.08816 (2023) - 2022
- [j6]Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni:
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems. J. Artif. Intell. Res. 73: 1473-1534 (2022) - [c24]Mark McArthur, Yashar Moshfeghi, Michael Cashmore:
EgoPlan: A Framework for Multi-Agent Planning Using Single Agent Planners. FLAIRS 2022 - [c23]Andrew Murray, Benjamin Krarup, Michael Cashmore:
Towards Temporally Uncertain Explainable AI Planning. ICDCIT 2022: 45-59 - [c22]Andrew Murray, Michael Cashmore, Ashwin Arulselvan, Jeremy Frank:
Joint Chance Constrained Probabilistic Simple Temporal Networks via Column Generation (Extended Abstract). SOCS 2022: 305-307 - 2021
- [j5]Benjamin Krarup, Senka Krivic, Daniele Magazzeni, Derek Long, Michael Cashmore, David E. Smith:
Contrastive Explanations of Plans through Model Restrictions. J. Artif. Intell. Res. 72: 533-612 (2021) - [c21]Sarah Keren, Gerard Canal, Michael Cashmore:
Task-Aware Waypoint Sampling for Robotic Planning. ICAPS 2021: 643-651 - [c20]Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi:
Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans. TIME 2021: 13:1-13:14 - [c19]Tomás Ribeiro, Oscar Lima, Michael Cashmore, Andrea Micheli, Rodrigo Ventura:
Olisipo: A Probabilistic Approach to the Adaptable Execution of Deterministic Temporal Plans. TIME 2021: 15:1-15:15 - [i5]Benjamin Krarup, Senka Krivic, Daniele Magazzeni, Derek Long, Michael Cashmore, David E. Smith:
Contrastive Explanations of Plans Through Model Restrictions. CoRR abs/2103.15575 (2021) - 2020
- [j4]Michael Cashmore, Daniele Magazzeni, Parisa Zehtabi:
Planning for Hybrid Systems via Satisfiability Modulo Theories. J. Artif. Intell. Res. 67: 235-283 (2020) - [j3]Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sándor Szedmák, Justus H. Piater:
Using Machine Learning for Decreasing State Uncertainty in Planning. J. Artif. Intell. Res. 69: 765-806 (2020) - [c18]Rebecca Eifler, Michael Cashmore, Jörg Hoffmann, Daniele Magazzeni, Marcel Steinmetz:
A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning. AAAI 2020: 9818-9826 - [c17]Dorian Buksz, Anusha Mujumdar, Marin Orlic, Swarup Mohalik, Marios Daoutis, Ramamurthy Badrinath, Daniele Magazzeni, Michael Cashmore, Aneta Vulgarakis Feljan:
Intent-driven Strategic Tactical Planning for Autonomous Site Inspection using Cooperative Drones. IROS 2020: 6733-6740 - [i4]Oscar Lima, Michael Cashmore, Daniele Magazzeni, Andrea Micheli, Rodrigo Ventura:
Robust Plan Execution with Unexpected Observations. CoRR abs/2003.09401 (2020)
2010 – 2019
- 2019
- [c16]Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi:
Robustness Envelopes for Temporal Plans. AAAI 2019: 7538-7545 - [c15]Michael Cashmore, Andrew Coles, Bence Cserna, Erez Karpas, Daniele Magazzeni, Wheeler Ruml:
Replanning for Situated Robots. ICAPS 2019: 665-673 - [c14]Gerard Canal, Michael Cashmore, Senka Krivic, Guillem Alenyà, Daniele Magazzeni, Carme Torras:
Probabilistic Planning for Robotics with ROSPlan. TAROS (1) 2019: 236-250 - [i3]Michael Cashmore, Anna Collins, Benjamin Krarup, Senka Krivic, Daniele Magazzeni, David E. Smith:
Towards Explainable AI Planning as a Service. CoRR abs/1908.05059 (2019) - [i2]Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi:
Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans. CoRR abs/1911.07318 (2019) - 2018
- [j2]Michael Cashmore, Maria Fox, Derek Long, Daniele Magazzeni, Bram Ridder:
Opportunistic Planning in Autonomous Underwater Missions. IEEE Trans Autom. Sci. Eng. 15(2): 519-530 (2018) - [c13]Michael Cashmore, Andrew Coles, Bence Cserna, Erez Karpas, Daniele Magazzeni, Wheeler Ruml:
Situated Planning for Execution Under Temporal Constraints. AAAI Spring Symposia 2018 - [c12]Michael Cashmore, Andrew Coles, Bence Cserna, Erez Karpas, Daniele Magazzeni, Wheeler Ruml:
Temporal Planning while the Clock Ticks. ICAPS 2018: 39-46 - [c11]Dorian Buksz, Michael Cashmore, Benjamin Krarup, Daniele Magazzeni, Bram Ridder:
Strategic-Tactical Planning for Autonomous Underwater Vehicles over Long Horizons. IROS 2018: 3565-3572 - [i1]Rita Borgo, Michael Cashmore, Daniele Magazzeni:
Towards Providing Explanations for AI Planner Decisions. CoRR abs/1810.06338 (2018) - 2017
- [c10]Senka Krivic, Michael Cashmore, Bram Ridder, Daniele Magazzeni, Sándor Szedmák, Justus H. Piater:
Initial State Prediction in Planning. AAAI Workshops 2017 - [c9]Valerio Sanelli, Michael Cashmore, Daniele Magazzeni, Luca Iocchi:
Short-Term Human-Robot Interaction through Conditional Planning and Execution. ICAPS 2017: 540-548 - [c8]Senka Krivic, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sándor Szedmák, Justus H. Piater:
Decreasing Uncertainty in Planning with State Prediction. IJCAI 2017: 2032-2038 - [c7]Edith Langer, Bram Ridder, Michael Cashmore, Daniele Magazzeni, Michael Zillich, Markus Vincze:
On-the-fly detection of novel objects in indoor environments. ROBIO 2017: 900-907 - 2016
- [j1]Narcís Palomeras, Arnau Carrera, Natàlia Hurtós, George C. Karras, Charalampos P. Bechlioulis, Michael Cashmore, Daniele Magazzeni, Derek Long, Maria Fox, Kostas J. Kyriakopoulos, Petar Kormushev, Joaquim Salvi, Marc Carreras:
Toward persistent autonomous intervention in a subsea panel. Auton. Robots 40(7): 1279-1306 (2016) - [c6]Michael Cashmore, Maria Fox, Derek Long, Daniele Magazzeni:
A Compilation of the Full PDDL+ Language into SMT. AAAI Workshop: Planning for Hybrid Systems 2016 - [c5]Michael Cashmore, Maria Fox, Derek Long, Daniele Magazzeni:
A Compilation of the Full PDDL+ Language into SMT. ICAPS 2016: 79-87 - 2015
- [c4]Michael Cashmore, Maria Fox, Derek Long, Daniele Magazzeni, Bram Ridder, Arnau Carrera, Narcís Palomeras, Natàlia Hurtós, Marc Carreras:
ROSPlan: Planning in the Robot Operating System. ICAPS 2015: 333-341 - 2014
- [c3]Michael Cashmore, Maria Fox, Tom Larkworthy, Derek Long, Daniele Magazzeni:
AUV mission control via temporal planning. ICRA 2014: 6535-6541 - 2013
- [b1]Michael Cashmore:
Planning as quantified Boolean formulae. University of Strathclyde, Glasgow, UK, 2013 - [c2]Michael Cashmore, Maria Fox, Enrico Giunchiglia:
Partially Grounded Planning as Quantified Boolean Formula. ICAPS 2013 - 2012
- [c1]Michael Cashmore, Maria Fox, Enrico Giunchiglia:
Planning as Quantified Boolean Formula. ECAI 2012: 217-222
Coauthor Index
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last updated on 2024-10-28 20:13 CET by the dblp team
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