3 papers
stat.ML2026
Bayesian learning for the stochastic shortest path problem
Chon Wai Ho, Sumeetpal S. Singh, Jiaqi Guo
Sequential decision-making problems are often modelled as a Markov decision process (MDP). We focus on the stochastic shortest path (SSP) problem, which is an infinite-horizon undi…
stat.ML2025
Bayesian learning of the optimal action-value function in a Markov decision process
Jiaqi Guo, Chon Wai Ho, Sumeetpal S. Singh
The Markov Decision Process (MDP) is a popular framework for sequential decision-making problems, and uncertainty quantification is an essential component of it to learn optimal de…
cs.RO2025
Diffusion Stabilizer Policy for Automated Surgical Robot Manipulations
Chonlam Ho, Jianshu Hu, Lei Song +3
Intelligent surgical robots have the potential to revolutionize clinical practice by enabling more precise and automated surgical procedures. However, the automation of such robot…