Artikel mit Open-Access-Mandaten - Rick ValenzanoWeitere Informationen
Verfügbar: 12
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
Mandate: Natural Sciences and Engineering Research Council of Canada
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
Mandate: Natural Sciences and Engineering Research Council of Canada
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
Mandate: Natural Sciences and Engineering Research Council of Canada
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
Mandate: Natural Sciences and Engineering Research Council of Canada
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
Mandate: Natural Sciences and Engineering Research Council of Canada
Advice-based exploration in model-based reinforcement learning
R Toro Icarte, TQ Klassen, RA Valenzano, SA McIlraith
Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018
Mandate: Natural Sciences and Engineering Research Council of Canada
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
Mandate: Natural Sciences and Engineering Research Council of Canada
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
Mandate: Natural Sciences and Engineering Research Council of Canada
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
Mandate: Natural Sciences and Engineering Research Council of Canada
On polygon numbers of circle graphs and distance hereditary graphs
L Stewart, R Valenzano
Discrete Applied Mathematics 248, 3-17, 2018
Mandate: Natural Sciences and Engineering Research Council of Canada
Using advice in model-based reinforcement learning
RT Icarte, TQ Klassen, R Valenzano, SA McIlraith
Reinforcement Learning and Decision Making (RLDM), 2017
Mandate: Natural Sciences and Engineering Research Council of Canada
Type-WA*: Using Exploration in Bounded Suboptimal Planning.
E Cohen, RA Valenzano, SA McIlraith
IJCAI, 4047-4053, 2021
Mandate: Natural Sciences and Engineering Research Council of Canada
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