Toryn Q. Klassen
Title
Cited by
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, 2018
81*2018
Teaching Multiple Tasks to an RL Agent using LTL
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
AAMAS 2018, 452-461, 2018
652018
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
A Camacho, RT Icarte, TQ Klassen, R Valenzano, SA McIlraith
IJCAI 2019, 6065-6073, 2019
572019
Learning Reward Machines for Partially Observable Reinforcement Learning
R Toro Icarte, E Waldie, TQ Klassen, R Valenzano, M Castro, SA McIlraith
NeurIPS 2019, 2019
292019
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
142018
Epistemic Plan Recognition
M Shvo, TQ Klassen, S Sohrabi, SA McIlraith
AAMAS 2020, 1251-1259, 2020
92020
Independence of tabulation-based hash classes
TQ Klassen, P Woelfel
Latin American Symposium on Theoretical Informatics, 506-517, 2012
92012
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
72020
Towards tractable inference for resource-bounded agents
TQ Klassen, SA McIlraith, HJ Levesque
Commonsense 2015, 2015
72015
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
arXiv preprint arXiv:2010.03950, 2020
62020
Searching for Markovian Subproblems to Address Partially Observable Reinforcement Learning
R Toro Icarte, E Waldie, TQ Klassen, R Valenzano, MP Castro, ...
RLDM 2019, 2019
4*2019
Specifying Plausibility Levels for Iterated Belief Change in the Situation Calculus
TQ Klassen, SA McIlraith, HJ Levesque
KR 2018, 257-266, 2018
42018
Towards Representing What Readers of Fiction Believe
TQ Klassen, HJ Levesque, SA McIlraith
Commonsense 2017, 2017
32017
Using Advice in Model-Based Reinforcement Learning
R Toro Icarte, TQ Klassen, R Valenzano, SA McIlraith
RLDM 2017, 2017
3*2017
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
22020
Changing Beliefs about Domain Dynamics in the Situation Calculus
TQ Klassen, SA McIlraith, HJ Levesque
KR 2020, 572-581, 2020
22020
Be Considerate: Objectives, Side Effects, and Deciding How to Act
P Alizadeh Alamdari, TQ Klassen, R Toro Icarte, SA McIlraith
arXiv preprint arXiv:2106.02617, 2021
12021
Resource-bounded inference with three-valued neighborhood semantics
TQ Klassen
MSc paper, University of Toronto, 2015
12015
Explaining the Plans of Agents via Theory of Mind
M Shvo, TQ Klassen, SA McIlraith
ICAPS 2021 Workshop on Explainable AI Planning, 2021
2021
Planning to Avoid Side Effects (Preliminary Report)
TQ Klassen, SA McIlraith
Robust and Reliable Autonomy in the Wild (IJCAI 2021 Workshop), 2021
2021
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Articles 1–20