3 papers
cs.AI2026
Finite-Time Analysis of MCTS in Continuous POMDP Planning
Da Kong, Vadim Indelman
This paper presents a finite-time analysis for Monte Carlo Tree Search (MCTS) in Partially Observable Markov Decision Processes (POMDPs), with probabilistic concentration bounds in…
cs.RO2026
Open-loop POMDP Simplification and Safe Skipping of Replanning with Formal Performance Guarantees
Da Kong, Vadim Indelman
Partially Observable Markov Decision Processes (POMDPs) provide a principled mathematical framework for decision-making under uncertainty. However, the exact solution to POMDPs is…
cs.CV2026
Keyframe-Based Feed-Forward Visual Odometry
Weichen Dai, Wenhan Su, Da Kong +2
The emergence of visual foundation models has revolutionized visual odometry~(VO) and SLAM, enabling pose estimation and dense reconstruction within a single feed-forward network.…