LTL2Action: Generalizing LTL Instructions for Multi-Task RL P Vaezipoor, A Li, RT Icarte, S McIlraith International Conference on Machine Learning, 2021, 2021 | 74 | 2021 |
Bayesian Network Structure Learning with Side Constraints AC Li, P van Beek International Conference on Probabilistic Graphical Models, 225-236, 2018 | 30 | 2018 |
Interpretable Sequence Classification via Discrete Optimization M Shvo, AC Li, RT Icarte, SA McIlraith AAAI Conference on Artificial Intelligence, 2021, 2020 | 19 | 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 | 14* | 2022 |
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 | 9 | 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 | 4 | 2023 |
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 | 4 | 2020 |
Reward Machines for Deep RL in Noisy and Uncertain Environments AC Li, Z Chen, TQ Klassen, P Vaezipoor, RT Icarte, SA McIlraith arXiv preprint arXiv:2406.00120, 2024 | 1 | 2024 |
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 |
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 | 1* | |
Relating Values and Social Network Structure N Paryab, A Sachs, A Li, M Nagappan, J Hoey | | |