LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Chak Lam Shek; Xiyang Wu; Dinesh Manocha; Pratap Tokekar; Amrit Singh Bedi (CoRR, 2023)

Decision-Oriented Intervention Cost Prediction for Multi-robot Persistent Monitoring. - Guangyao Shi; Chak Lam Shek; Nare Karapetyan; Pratap Tokekar (CoRR, 2023)

Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon? - Chak Lam Shek; Guangyao Shi; Ahmad Bilal Asghar; Pratap Tokekar (ACC, 2024)

LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Chak Lam Shek; Xiyang Wu; Wesley A. Suttle; Carl E. Busart; Erin G. Zaroukian; Dinesh Manocha; Pratap Tokekar; Amrit Singh Bedi (IROS, 2024)

When to Localize? A Risk-Constrained Reinforcement Learning Approach. - Chak Lam Shek; Kasra Torshizi; Troi Williams; Pratap Tokekar (ACC, 2025)

Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm. - Chak Lam Shek; Amrit Singh Bedi; Anjon Basak; Ellen R. Novoseller; Nicholas R. Waytowich; Priya Narayanan; Dinesh Manocha; Pratap Tokekar (CoRR, 2025)

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning. - Chak Lam Shek; Pratap Tokekar (CoRR, 2025)

Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach. - Chak Lam Shek; Guangyao Shi; Pratap Tokekar (CoRR, 2025)