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Toryn Q. Klassen
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Cited by
Year
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
ICML 2018, 2112--2121, 2018
356*2018
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
A Camacho, R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
IJCAI 2019, 6065-6073, 2019
2672019
Reward machines: Exploiting reward function structure in reinforcement learning
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
Journal of Artificial Intelligence Research 73, 173-208, 2022
2482022
Teaching Multiple Tasks to an RL Agent using LTL
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
AAMAS 2018, 452-461, 2018
1602018
Learning Reward Machines for Partially Observable Reinforcement Learning
R Toro Icarte, E Waldie, TQ Klassen, R Valenzano, M Castro, SA McIlraith
NeurIPS 2019, 15497--15508, 2019
1502019
Towards the Role of Theory of Mind in Explanation
M Shvo, TQ Klassen, SA McIlraith
EXTRAAMAS 2020: Explainable, Transparent Autonomous Agents and Multi-Agent …, 2020
312020
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
312018
Epistemic plan recognition
M Shvo, TQ Klassen, S Sohrabi, SA McIlraith
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
282020
Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning
P Alizadeh Alamdari, TQ Klassen, R Toro Icarte, SA McIlraith
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
202022
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning
RT Icarte, TQ Klassen, R Valenzano, MP Castro, E Waldie, SA McIlraith
Artificial Intelligence, 103989, 2023
192023
Resolving Misconceptions about the Plans of Agents via Theory of Mind
M Shvo, TQ Klassen, SA McIlraith
Proceedings of the International Conference on Automated Planning and …, 2022
152022
Learning to follow instructions in text-based games
M Tuli, AC Li, P Vaezipoor, TQ Klassen, S Sanner, SA McIlraith
Advances in Neural Information Processing Systems 35, 19441-19455, 2022
132022
Planning to Avoid Side Effects
TQ Klassen, SA McIlraith, C Muise, J Xu
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence …, 2022
122022
Independence of tabulation-based hash classes
TQ Klassen, P Woelfel
Latin American Symposium on Theoretical Informatics, 506-517, 2012
112012
Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines
AC Li, Z Chen, P Vaezipoor, TQ Klassen, RT Icarte, SA McIlraith
arXiv preprint arXiv:2211.10902, 2022
102022
The act of remembering: a study in partially observable reinforcement learning
R Toro Icarte, R Valenzano, TQ Klassen, P Christoffersen, A Farahmand, ...
arXiv preprint arXiv:2010.01753, 2020
82020
Towards tractable inference for resource-bounded agents
TQ Klassen, SA McIlraith, HJ Levesque
Commonsense 2015, 89--95, 2015
82015
Learning Belief Representations for Partially Observable Deep RL
A Wang, AC Li, TQ Klassen, RT Icarte, SA McIlraith
ICML 2023, 2023
72023
Using Advice in Model-Based Reinforcement Learning
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
RLDM 2017, 2017
7*2017
Searching for Markovian Subproblems to Address Partially Observable Reinforcement Learning
R Toro Icarte, E Waldie, TQ Klassen, R Valenzano, MP Castro, ...
RLDM 2019, 2019
6*2019
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Articles 1–20