182 citations · 558 across the 24 of their papers we have counts for
4 papers · 1 filter
Monte Carlo Bayesian Reinforcement Learning
Yi Wang, Kok Sung Won, David Hsu +1
Bayesian reinforcement learning (BRL) encodes prior knowledge of the world in a model and represents uncertainty in model parameters by maintaining a probability distribution over…
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic
Truong-Huy Dinh Nguyen, Wee-Sun Lee, Tze-Yun Leong
We consider the problem of using a heuristic policy to improve the value approximation by the Upper Confidence Bound applied in Trees (UCT) algorithm in non-adversarial settings su…
CAPIR: Collaborative Action Planning with Intention Recognition
Truong-Huy Dinh Nguyen, David Hsu, Wee-Sun Lee +4
We apply decision theoretic techniques to construct non-player characters that are able to assist a human player in collaborative games. The method is based on solving Markov decis…
Optimizing F-measure: A Tale of Two Approaches
Ye Nan, Kian Ming Chai, Wee Sun Lee +1
F-measures are popular performance metrics, particularly for tasks with imbalanced data sets. Algorithms for learning to maximize F-measures follow two approaches: the empirical ut…