Andrew C. Li - RankMe

14 papers A* 5Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Ground-Compose-Reinforce: Tasking Reinforcement Learning Agents through Formal Language. CoRR Andrew C. Li, Toryn Q. Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith
2024	A*	`conf`	Reward Machines for Deep RL in Noisy and Uncertain Environments. NeurIPS Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2024	J	`jnl`	Reward Machines for Deep RL in Noisy and Uncertain Environments. CoRR Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2023	A*	`conf`	Learning Belief Representations for Partially Observable Deep RL. ICML Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2023	J	`jnl`	Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior. CoRR Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2022	J	`jnl`	Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks. CoRR Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2022	A*	`conf`	Learning to Follow Instructions in Text-Based Games. NeurIPS Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
2022	J	`jnl`	Learning to Follow Instructions in Text-Based Games. CoRR Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
2022	J	`jnl`	Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines. CoRR Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	A*	`conf`	Interpretable Sequence Classification via Discrete Optimization. AAAI Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	A*	`conf`	LTL2Action: Generalizing LTL Instructions for Multi-Task RL. ICML Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	J	`jnl`	LTL2Action: Generalizing LTL Instructions for Multi-Task RL. CoRR Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2020	J	`jnl`	Interpretable Sequence Classification via Discrete Optimization. CoRR Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2018	—	`conf`	Bayesian Network Structure Learning with Side Constraints. PGM Andrew C. Li, Peter Beek