Ikuti
Andrew Li
Andrew Li
University of Toronto
Email yang diverifikasi di cs.toronto.edu - Beranda
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LTL2Action: Generalizing LTL Instructions for Multi-Task RL
P Vaezipoor, A Li, RT Icarte, S McIlraith
International Conference on Machine Learning, 2021, 2021
922021
Bayesian Network Structure Learning with Side Constraints
AC Li, P van Beek
International Conference on Probabilistic Graphical Models, 225-236, 2018
422018
Interpretable Sequence Classification via Discrete Optimization
M Shvo, AC Li, RT Icarte, SA McIlraith
AAAI Conference on Artificial Intelligence, 2021, 2020
212020
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
112023
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
112022
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
52020
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
22024
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
12022
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
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