| LTL2Action: Generalizing LTL Instructions for Multi-Task RL P Vaezipoor, A Li, RT Icarte, S McIlraith International Conference on Machine Learning, 2021, 2021 | 92 | 2021 |
| Bayesian Network Structure Learning with Side Constraints AC Li, P van Beek International Conference on Probabilistic Graphical Models, 225-236, 2018 | 42 | 2018 |
| Interpretable Sequence Classification via Discrete Optimization M Shvo, AC Li, RT Icarte, SA McIlraith AAAI Conference on Artificial Intelligence, 2021, 2020 | 21 | 2020 |
| Learning to Follow Instructions in Text-Based Games M Tuli, AC Li, P Vaezipoor, TQ Klassen, S Sanner, SA McIlraith Advances in Neural Information Processing Systems, 2022, 2022 | 17* | 2022 |
| Learning Belief Representations for Partially Observable Deep RL A Wang, AC Li, TQ Klassen, RT Icarte, SA McIlraith International Conference on Machine Learning, 2023, 2023 | 11 | 2023 |
| Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines AC Li, Z Chen, P Vaezipoor, TQ Klassen, RT Icarte, SA McIlraith arXiv preprint arXiv:2211.10902, 2022 | 11 | 2022 |
| Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior PJK Christoffersen, AC Li, R Toro Icarte, SA McIlraith 4th Knowledge Representation and Reasoning Meets Machine Learning Workshop …, 2020 | 5 | 2020 |
| Reward Machines for Deep RL in Noisy and Uncertain Environments AC Li, Z Chen, TQ Klassen, P Vaezipoor, RT Icarte, SA McIlraith Advances in Neural Information Processing Systems, 2024, 2024 | 2 | 2024 |
| Exploring Long-Horizon Reasoning with Deep RL in Combinatorially Hard Tasks AC Li, P Vaezipoor, RT Icarte, SA McIlraith Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 0 | 2* | |
| Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks AC Li, P Vaezipoor, RT Icarte, SA McIlraith arXiv preprint arXiv:2206.01812, 2022 | 1 | 2022 |
| Symbolic AI and Big Data A Li landscape, 2024 | | 2024 |
| Relating Values and Social Network Structure N Paryab, A Sachs, A Li, M Nagappan, J Hoey | | |
Sheila McIlraithProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu