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Toryn Q. Klassen · SciRah

Researcher profile · Semantic Scholar

Toryn Q. Klassen

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Toryn Q. Klassen — researcher profile on SciRah

h-index: 16
Works: 48
Citations: 1,656

Most-cited papers

Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2018International Conference on Machine Learning381 citations
Semantic Scholar
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2020Journal of Artificial Intelligence Research362 citations Open access
Semantic Scholar
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano +1 more
2019International Joint Conference on Artificial Intelligence272 citations Open access
Semantic Scholar
Teaching Multiple Tasks to an RL Agent using LTL
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2018Adaptive Agents and Multi-Agent Systems141 citations
Semantic Scholar
Learning Reward Machines for Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano +2 more
2019Neural Information Processing Systems140 citations
Semantic Scholar
Towards the Role of Theory of Mind in Explanation
Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
2020EXTRAAMAS@AAMAS30 citations Open access
Semantic Scholar
Learning Belief Representations for Partially Observable Deep RL
Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte +1 more
2023International Conference on Machine Learning28 citations
Semantic Scholar
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, R. Valenzano +2 more
2021arXiv.org24 citations
Semantic Scholar
Learning to Follow Instructions in Text-Based Games
Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen +2 more
2022Neural Information Processing Systems21 citations Open access
Semantic Scholar
Epistemic Plan Recognition
Maayan Shvo, Toryn Q. Klassen, Shirin Sohrabi, Sheila A. McIlraith
2020Adaptive Agents and Multi-Agent Systems21 citations
Semantic Scholar
Advice-Based Exploration in Model-Based Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2018Canadian AI20 citations
Semantic Scholar
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic +82 more
2025Neural Information Processing Systems19 citations
Semantic Scholar
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor +2 more
2024Neural Information Processing Systems19 citations
Semantic Scholar
Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning
P. A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2022Adaptive Agents and Multi-Agent Systems19 citations
Semantic Scholar
Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines
Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen +2 more
2022arXiv.org17 citations Open access
Semantic Scholar
The act of remembering: a study in partially observable reinforcement learning
Rodrigo Toro Icarte, R. Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen +2 more
2020arXiv.org17 citations
Semantic Scholar
Resolving Misconceptions about the Plans of Agents via Theory of Mind
Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
2022International Conference on Automated Planning and Scheduling12 citations Open access
Semantic Scholar
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
P. A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith
2023International Conference on Machine Learning11 citations
Semantic Scholar
Independence of Tabulation-Based Hash Classes
Toryn Q. Klassen, Philipp Woelfel
2011Latin American Symposium on Theoretical Informatics11 citations
Semantic Scholar
Learning reward machines: A study in partially observable reinforcement learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Margarita P. Castro +2 more
2023Artificial Intelligence10 citations Open access
Semantic Scholar
Epistemic Side Effects: An AI Safety Problem
Toryn Q. Klassen, P. A. Alamdari, Sheila A. McIlraith
2023Adaptive Agents and Multi-Agent Systems9 citations
Semantic Scholar
Planning to Avoid Side Effects
Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu
2022AAAI Conference on Artificial Intelligence9 citations Open access
Semantic Scholar
Towards Tractable Inference for Resource-Bounded Agents
Toryn Q. Klassen, Sheila A. McIlraith, H. Levesque
2015AAAI Spring Symposia9 citations
Semantic Scholar
Using Advice in Model-Based Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
20176 citations
Semantic Scholar
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems
P. A. Alamdari, Toryn Q. Klassen, Sheila A. McIlraith
2026Conference on Fairness, Accountability and Transparency5 citations Open access
Semantic Scholar
Pushdown Reward Machines for Reinforcement Learning
Giovanni Varricchione, Toryn Q. Klassen, N. Alechina, Mehdi Dastani +2 more
2025International Conference on Principles of Knowledge Representation and Reasoning5 citations
Semantic Scholar
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
Andrew C. Li, Toryn Q. Klassen, Andrew Wang, P. A. Alamdari +1 more
2025Neural Information Processing Systems5 citations Open access
Semantic Scholar
Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI
P. A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2024arXiv.org5 citations
Semantic Scholar
Pluralistic Alignment Over Time
Toryn Q. Klassen, P. A. Alamdari, Sheila A. McIlraith
2024arXiv.org5 citations
Semantic Scholar
Specifying Plausibility Levels for Iterated Belief Change in the Situation Calculus
Toryn Q. Klassen, Sheila A. McIlraith, H. Levesque
2018International Conference on Principles of Knowledge Representation and Reasoning5 citations
Semantic Scholar
Searching for Markovian Subproblems to Address Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen
20194 citations
Semantic Scholar
Be Considerate: Objectives, Side Effects, and Deciding How to Act
P. A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2021arXiv.org3 citations
Semantic Scholar
Satisficing and Optimal Generalised Planning via Goal Regression
Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith
2026AAAI Conference on Artificial Intelligence2 citations Open access
Semantic Scholar
Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making (Preliminary Report)
P. A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith
2023arXiv.org2 citations
Semantic Scholar
Towards Representing What Readers of Fiction Believe
Toryn Q. Klassen, H. Levesque, Sheila A. McIlraith
2017International Symposium on Commonsense Reasoning2 citations
Semantic Scholar
Instruction Following in Text-Based Games
Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen +2 more
2 citations
Semantic Scholar
Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems
P. A. Alamdari, Toryn Q. Klassen, Sheila A. McIlraith
2 citations
Semantic Scholar
Satisficing and Optimal Generalised Planning via Goal Regression (Extended Version)
Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith
2025arXiv.org1 citations
Semantic Scholar
Ground-Compose-Reinforce: Tasking Reinforcement Learning Agents through Formal Language
Andrew C. Li, Toryn Q. Klassen, Andrew Wang, P. A. Alamdari +1 more
2025arXiv.org1 citations
Semantic Scholar
Planning with Epistemic Preferences
Toryn Q. Klassen, Christian Muise, Sheila A. McIlraith
2023International Conference on Principles of Knowledge Representation and Reasoning1 citations Open access
Semantic Scholar
Explaining the Plans of Agents via Theory of Mind
Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
20211 citations
Semantic Scholar
Changing Beliefs about Domain Dynamics in the Situation Calculus
Toryn Q. Klassen, Sheila A. McIlraith, H. Levesque
2020International Conference on Principles of Knowledge Representation and Reasoning1 citations Open access
Semantic Scholar
Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning
Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith
2026arXiv.org0 citations
Semantic Scholar
Progression- vs Automata-based Anticipatory Monitoring of LTL over Finite Traces (Extended Version)
Sarah Winkler, Toryn Q. Klassen, Sheila A. McIlraith, Marco Montali
20260 citations
Semantic Scholar
Towards Human-Aware AI via Planning with Epistemic Preferences
Toryn Q. Klassen, Christian Muise, Sheila A. McIlraith
20230 citations
Semantic Scholar
Representing Plausible Beliefs about States, Actions, and Processes
Toryn Q. Klassen
20210 citations
Semantic Scholar
Advising and Instructing Reinforcement Learning Agents with LTL and Automata
Toryn Q. Klassen
20180 citations
Semantic Scholar
Resource-bounded inference with three-valued neighborhood semantics
Toryn Q. Klassen
20150 citations
Semantic Scholar

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