Chak Lam Shek

According to our database, Chak Lam Shek authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach.

Chak Lam Shek, Guangyao Shi, Pratap Tokekar

CoRR, August, 2025

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning.

Chak Lam Shek, Pratap Tokekar

CoRR, March, 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, March, 2025

When to Localize? A Risk-Constrained Reinforcement Learning Approach.

Chak Lam Shek, Kasra Torshizi, Troi Williams, Pratap Tokekar

Proceedings of the 2025 American Control Conference, 2025

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon?

Chak Lam Shek, Guangyao Shi, Ahmad Bilal Asghar, Pratap Tokekar

Proceedings of the American Control Conference, 2024

2023

Decision-Oriented Intervention Cost Prediction for Multi-robot Persistent Monitoring.

Guangyao Shi, Chak Lam Shek, Nare Karapetyan, Pratap Tokekar

CoRR, 2023

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