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Andrew C. Li
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 12
Top Topics
Sequence Classification
String Kernels
Reinforcement Learning
State Action
Top Venues
CoRR
ICML
PGM
AAAI
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Publications
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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)