Rick Valenzano
Title
Cited by
Cited by
Year
Evaluating state-space abstractions in extensive-form games
M Johanson, N Burch, R Valenzano, M Bowling
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
842013
Using reward machines for high-level task specification and decomposition in reinforcement learning
RT Icarte, T Klassen, R Valenzano, S McIlraith
International Conference on Machine Learning, 2107-2116, 2018
822018
Teaching multiple tasks to an RL agent using LTL
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
652018
Simultaneously searching with multiple settings: An alternative to parameter tuning for suboptimal single-agent search algorithms
RA Valenzano, N Sturtevant, J Schaeffer, K Buro, A Kishimoto
Twentieth International Conference on Automated Planning and Scheduling, 2010
602010
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning.
A Camacho, RT Icarte, TQ Klassen, RA Valenzano, SA McIlraith
IJCAI 19, 6065-6073, 2019
572019
Arvandherd: Parallel planning with a portfolio
R Valenzano, H Nakhost, M Müller, J Schaeffer, N Sturtevant
ECAI 2012, 786-791, 2012
452012
A comparison of knowledge-based GBFS enhancements and knowledge-free exploration
RA Valenzano, NR Sturtevant, J Schaeffer, F Xie
Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014
412014
Learning reward machines for partially observable reinforcement learning
R Toro Icarte, E Waldie, T Klassen, R Valenzano, M Castro, S McIlraith
Advances in Neural Information Processing Systems 32, 15523-15534, 2019
292019
Using alternative suboptimality bounds in heuristic search
R Valenzano, SJ Arfaee, J Thayer, R Stern, N Sturtevant
Proceedings of the International Conference on Automated Planning and …, 2013
232013
Arvand: the art of random walks
H Nakhost, M Müller, R Valenzano, F Xie
The, 15-16, 2011
192011
Advice-based exploration in model-based reinforcement learning
RT Icarte, TQ Klassen, RA Valenzano, SA McIlraith
Canadian Conference on Artificial Intelligence, 72-83, 2018
142018
Better time constrained search via randomization and postprocessing
F Xie, R Valenzano, M Müller
Twenty-Third International Conference on Automated Planning and Scheduling, 2013
112013
On the completeness of best-first search variants that use random exploration
R Valenzano, F Xie
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
92016
Worst-case solution quality analysis when not re-expanding nodes in best-first search
R Valenzano, N Sturtevant, J Schaeffer
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
92014
Arvandherd 2014
R Valenzano, H Nakhost, M Müller, J Schaeffer, N Sturtevant
The Eighth International Planning Competition. Description of Participant …, 2014
72014
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
RT Icarte, TQ Klassen, R Valenzano, SA McIlraith
arXiv preprint arXiv:2010.03950, 2020
52020
Probably bounded suboptimal heuristic search
R Stern, G Dreiman, R Valenzano
Artificial Intelligence 267, 39-57, 2019
52019
Searching for Markovian subproblems to address partially observable reinforcement learning
RT Icarte, E Waldie, TQ Klassen, R Valenzano, MP Castro, SA McIlraith
Proceedings of the 4th Multi-disciplinary Conference on Reinforcement …, 2019
42019
Using metric temporal logic to specify scheduling problems
R Luo, RA Valenzano, Y Li, JC Beck, SA McIlraith
Fifteenth International Conference on the Principles of Knowledge …, 2016
42016
Adding Exploration to Greedy Best-First Search
R Valenzano, NR Sturtevant, J Schaeffer
42013
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