Toryn Q. Klassen

According to our database1, Toryn Q. Klassen authored at least 26 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Learning reward machines: A study in partially observable reinforcement learning.
Artif. Intell., October, 2023

Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making (Preliminary Report).
CoRR, 2023

Planning with Epistemic Preferences.
Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

Learning Belief Representations for Partially Observable Deep RL.
Proceedings of the International Conference on Machine Learning, 2023

Epistemic Side Effects: An AI Safety Problem.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning.
J. Artif. Intell. Res., 2022

Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines.
CoRR, 2022

Learning to Follow Instructions in Text-Based Games.
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.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Resolving Misconceptions about the Plans of Agents via Theory of Mind.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Planning to Avoid Side Effects.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Representing Plausible Beliefs about States, Actions, and Processes.
PhD thesis, 2021

Be Considerate: Objectives, Side Effects, and Deciding How to Act.
CoRR, 2021

2020
The act of remembering: a study in partially observable reinforcement learning.
CoRR, 2020

Changing Beliefs about Domain Dynamics in the Situation Calculus.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Epistemic Plan Recognition.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Towards the Role of Theory of Mind in Explanation.
Proceedings of the Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 2020

2019
Learning Reward Machines for Partially Observable Reinforcement Learning.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Specifying Plausibility Levels for Iterated Belief Change in the Situation Calculus.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

Teaching Multiple Tasks to an RL Agent using LTL.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Advice-Based Exploration in Model-Based Reinforcement Learning.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Towards Representing What Readers of Fiction Believe.
Proceedings of the Thirteenth International Symposium on Commonsense Reasoning, 2017

2015
Towards Tractable Inference for Resource-Bounded Agents.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2012
Independence of Tabulation-Based Hash Classes.
Proceedings of the LATIN 2012: Theoretical Informatics, 2012


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