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Rick Valenzano
Rick Valenzano
Assistant Professor of Computer Science, Ryerson University
Geverifieerd e-mailadres voor ryerson.ca - Homepage
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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
1512018
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
1212019
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
922018
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
902013
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, 2019
662019
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
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
452014
Arvandherd: Parallel planning with a portfolio
R Valenzano, H Nakhost, M Müller, J Schaeffer, N Sturtevant
ECAI 2012, 786-791, 2012
452012
Reward machines: Exploiting reward function structure in reinforcement learning
RT Icarte, TQ Klassen, R Valenzano, SA McIlraith
Journal of Artificial Intelligence Research 73, 173-208, 2022
382022
Advice-based exploration in model-based reinforcement learning
R Toro Icarte, TQ Klassen, RA Valenzano, SA McIlraith
Canadian Conference on Artificial Intelligence, 72-83, 2018
232018
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
222013
Arvand: the art of random walks
H Nakhost, M Müller, R Valenzano, F Xie
The, 15-16, 2011
202011
On the completeness of best-first search variants that use random exploration
RA Valenzano, F Xie
Thirtieth AAAI Conference on Artificial Intelligence, 2016
122016
Better time constrained search via randomization and postprocessing
F Xie, R Valenzano, M Müller
Proceedings of the International Conference on Automated Planning and …, 2013
112013
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
82014
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
62019
Probably bounded suboptimal heuristic search
R Stern, G Dreiman, R Valenzano
Artificial Intelligence 267, 39-57, 2019
52019
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
52016
An analysis and enhancement of the gap heuristic for the pancake puzzle
RA Valenzano, DS Yang
Tenth Annual Symposium on Combinatorial Search, 2017
42017
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Artikelen 1–20