Sheila A. McIlraith

Publications

Learning Reward Machines for Partially Observable Reinforcement Learning. Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Sheila A. McIlraith. At Conference on Neural Information Processing Systems (NeurIPS), 2019.

Searching for Markovian Subproblems to Address Partially Observable Reinforcement Learning. Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Sheila A. McIlraith. At Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019.

LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning. Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Sheila A. McIlraith. At International Join Conference on Artificial Intelligence (IJCAI), 2018.

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Teaching Multiple Tasks to an RL Agent using LTL. Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Sheila A. McIlraith. At Autonomous Agents and Multiagent Systems (AAMAS), 2018.

Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning. Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Sheila A. McIlraith. At International Conference on Machine Learning (ICML), 2018.

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Advice-Based Exploration in Model-Based Reinforcement Learning. Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Sheila A. McIlraith. At Canadian Conference on AI, 2018.