Li, Andrew C

8 publications

NeurIPS 2025 Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours Using Limited Data Andrew C Li, Toryn Q. Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith

NeurIPS 2024 Reward Machines for Deep RL in Noisy and Uncertain Environments Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

ICML 2023 Learning Belief Representations for Partially Observable Deep RL Andrew Wang, Andrew C Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. Mcilraith

ICMLW 2022 Exploring Long-Horizon Reasoning with Deep RL in Combinatorially Hard Tasks Andrew C Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

NeurIPSW 2022 Noisy Symbolic Abstractions for Deep RL: A Case Study with Reward Machines Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

NeurIPSW 2022 Noisy Symbolic Abstractions for Deep RL: A Case Study with Reward Machines Andrew C Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

AAAI 2021 Interpretable Sequence Classification via Discrete Optimization Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

ICML 2021 LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor, Andrew C Li, Rodrigo A Toro Icarte, Sheila A. Mcilraith