Andrew C. Li

According to our database, Andrew C. Li authored at least 11 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Ground-Compose-Reinforce: Tasking Reinforcement Learning Agents through Formal Language.

Andrew C. Li, Toryn Q. Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith

CoRR, July, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior.

Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2023

Learning Belief Representations for Partially Observable Deep RL.

Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

Proceedings of the International Conference on Machine Learning, 2023

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

CoRR, 2022

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks.

Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2022

Learning to Follow Instructions in Text-Based Games.

Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

LTL2Action: Generalizing LTL Instructions for Multi-Task RL.

Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

Proceedings of the 38th International Conference on Machine Learning, 2021

Interpretable Sequence Classification via Discrete Optimization.

Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

Bayesian Network Structure Learning with Side Constraints.

Andrew C. Li, Peter Beek

Proceedings of the International Conference on Probabilistic Graphical Models, 2018