Toryn Q. Klassen

38 papers A* 14A 4Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Satisficing and Optimal Generalised Planning via Goal Regression. AAAI Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith
2025	J	`jnl`	Ground-Compose-Reinforce: Tasking Reinforcement Learning Agents through Formal Language. CoRR Andrew C. Li, Toryn Q. Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith
2025	A*	`conf`	Pushdown Reward Machines for Reinforcement Learning. KR Giovanni Varricchione, Toryn Q. Klassen, Natasha Alechina, Mehdi Dastani, Brian Logan, Sheila A. McIlraith
2025	J	`jnl`	Pushdown Reward Machines for Reinforcement Learning. CoRR Giovanni Varricchione, Toryn Q. Klassen, Natasha Alechina, Mehdi Dastani, Brian Logan, Sheila A. McIlraith
2025	J	`jnl`	Satisficing and Optimal Generalised Planning via Goal Regression (Extended Version). CoRR Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith
2024	J	`jnl`	Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI. CoRR Parand A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2024	J	`jnl`	Pluralistic Alignment Over Time. CoRR Toryn Q. Klassen, Parand A. Alamdari, Sheila A. McIlraith
2024	A*	`conf`	Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making. ICML Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith
2024	A*	`conf`	Reward Machines for Deep RL in Noisy and Uncertain Environments. NeurIPS Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2024	J	`jnl`	Reward Machines for Deep RL in Noisy and Uncertain Environments. CoRR Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2023	A	`conf`	Epistemic Side Effects: An AI Safety Problem. AAMAS Toryn Q. Klassen, Parand Alizadeh Alamdari, Sheila A. McIlraith
2023	A*	`conf`	Learning Belief Representations for Partially Observable Deep RL. ICML Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2023	J	`jnl`	Learning reward machines: A study in partially observable reinforcement learning. Artif. Intell. Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Ethan Waldie, Sheila A. McIlraith
2023	A*	`conf`	Planning with Epistemic Preferences. KR Toryn Q. Klassen, Christian Muise, Sheila A. McIlraith
2023	J	`jnl`	Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making (Preliminary Report). CoRR Parand Alizadeh Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith
2022	A	`conf`	Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning. AAMAS Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2022	A*	`conf`	Learning to Follow Instructions in Text-Based Games. NeurIPS Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
2022	J	`jnl`	Learning to Follow Instructions in Text-Based Games. CoRR Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
2022	J	`jnl`	Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines. CoRR Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2022	A*	`conf`	Planning to Avoid Side Effects. AAAI Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu
2022	A*	`conf`	Resolving Misconceptions about the Plans of Agents via Theory of Mind. ICAPS Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
2022	J	`jnl`	Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. J. Artif. Intell. Res. Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2021	J	`jnl`	Be Considerate: Objectives, Side Effects, and Deciding How to Act. CoRR Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	J	`jnl`	Learning Reward Machines: A Study in Partially Observable Reinforcement Learning. CoRR Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
2020	A*	`conf`	Changing Beliefs about Domain Dynamics in the Situation Calculus. KR Toryn Q. Klassen, Sheila A. McIlraith, Hector J. Levesque
2020	A	`conf`	Epistemic Plan Recognition. AAMAS Maayan Shvo, Toryn Q. Klassen, Shirin Sohrabi, Sheila A. McIlraith
2020	J	`jnl`	Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. CoRR Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2020	J	`jnl`	The act of remembering: a study in partially observable reinforcement learning. CoRR Rodrigo Toro Icarte, Richard Anthony Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith
2020	—	`conf`	Towards the Role of Theory of Mind in Explanation. EXTRAAMAS@AAMAS Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
2020	J	`jnl`	Towards the Role of Theory of Mind in Explanation. CoRR Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
2019	A*	`conf`	LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning. IJCAI Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2019	A*	`conf`	Learning Reward Machines for Partially Observable Reinforcement Learning. NeurIPS Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
2018	—	`conf`	Advice-Based Exploration in Model-Based Reinforcement Learning. Canadian AI Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2018	A*	`conf`	Specifying Plausibility Levels for Iterated Belief Change in the Situation Calculus. KR Toryn Q. Klassen, Sheila A. McIlraith, Hector J. Levesque
2018	A	`conf`	Teaching Multiple Tasks to an RL Agent using LTL. AAMAS Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2018	A*	`conf`	Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning. ICML Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2017	—	`conf`	Towards Representing What Readers of Fiction Believe. COMMONSENSE Toryn Q. Klassen, Hector J. Levesque, Sheila A. McIlraith
2015	—	`conf`	Towards Tractable Inference for Resource-Bounded Agents. AAAI Spring Symposia Toryn Q. Klassen, Sheila A. McIlraith, Hector J. Levesque