Toryn Q. Klassen

According to our database, Toryn Q. Klassen authored at least 30 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pluralistic Alignment Over Time.

Toryn Q. Klassen, Parand A. Alamdari, Sheila A. McIlraith

CoRR, 2024

Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI.

Parand A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2024

Reward Machines for Deep RL in Noisy and Uncertain Environments.

Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2024

Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making.

Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning reward machines: A study in partially observable reinforcement learning.

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Ethan Waldie, Sheila A. McIlraith

Artif. Intell., October, 2023

Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making (Preliminary Report).

Parand Alizadeh Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith

CoRR, 2023

Planning with Epistemic Preferences.

Toryn Q. Klassen, Christian Muise, Sheila A. McIlraith

Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

Learning Belief Representations for Partially Observable Deep RL.

Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

Proceedings of the International Conference on Machine Learning, 2023

Epistemic Side Effects: An AI Safety Problem.

Toryn Q. Klassen, Parand Alizadeh Alamdari, Sheila A. McIlraith

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning.

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

J. Artif. Intell. Res., 2022

Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines.

Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2022

Learning to Follow Instructions in Text-Based Games.

Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning.

Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Resolving Misconceptions about the Plans of Agents via Theory of Mind.

Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Planning to Avoid Side Effects.

Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Representing Plausible Beliefs about States, Actions, and Processes.

Toryn Qwyllyn Klassen

PhD thesis, 2021

Be Considerate: Objectives, Side Effects, and Deciding How to Act.

Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2021

2020

The act of remembering: a study in partially observable reinforcement learning.

Rodrigo Toro Icarte, Richard Anthony Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith

CoRR, 2020

Changing Beliefs about Domain Dynamics in the Situation Calculus.

Toryn Q. Klassen, Sheila A. McIlraith, Hector J. Levesque

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Epistemic Plan Recognition.

Maayan Shvo, Toryn Q. Klassen, Shirin Sohrabi, Sheila A. McIlraith

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Towards the Role of Theory of Mind in Explanation.

Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith

Proceedings of the Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 2020

2019

Learning Reward Machines for Partially Observable Reinforcement Learning.

Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning.

Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Specifying Plausibility Levels for Iterated Belief Change in the Situation Calculus.

Toryn Q. Klassen, Sheila A. McIlraith, Hector J. Levesque

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018

Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning.

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

Proceedings of the 35th International Conference on Machine Learning, 2018

Teaching Multiple Tasks to an RL Agent using LTL.

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Advice-Based Exploration in Model-Based Reinforcement Learning.

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

Proceedings of the Advances in Artificial Intelligence, 2018

2017

Towards Representing What Readers of Fiction Believe.

Toryn Q. Klassen, Hector J. Levesque, Sheila A. McIlraith

Proceedings of the Thirteenth International Symposium on Commonsense Reasoning, 2017

2015

Towards Tractable Inference for Resource-Bounded Agents.

Toryn Q. Klassen, Sheila A. McIlraith, Hector J. Levesque

Proceedings of the 2015 AAAI Spring Symposia, 2015

2012

Independence of Tabulation-Based Hash Classes.

Toryn Qwyllyn Klassen, Philipp Woelfel

Proceedings of the LATIN 2012: Theoretical Informatics, 2012