Andrew C. Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Sequence Classification

Reinforcement Learning

Top Venues

Publications

Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
Reward Machines for Deep RL in Noisy and Uncertain Environments. CoRR (2024)
Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior. CoRR (2023)
Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
Learning Belief Representations for Partially Observable Deep RL. ICML (2023)
Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
Learning to Follow Instructions in Text-Based Games. NeurIPS (2022)
Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks. CoRR (2022)
Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
Learning to Follow Instructions in Text-Based Games. CoRR (2022)
Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines. CoRR (2022)
Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
LTL2Action: Generalizing LTL Instructions for Multi-Task RL. ICML (2021)
Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
Interpretable Sequence Classification via Discrete Optimization. AAAI (2021)
Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
LTL2Action: Generalizing LTL Instructions for Multi-Task RL. CoRR (2021)
Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
Interpretable Sequence Classification via Discrete Optimization. CoRR (2020)
Andrew C. Li, Peter Beek
Bayesian Network Structure Learning with Side Constraints. PGM (2018)