23 citations · 46 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 23 cited
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
Xiao Ma, Peter Karkus, David Hsu +2
Deep reinforcement learning is successful in decision making for sophisticated games, such as Atari, Go, etc. However, real-world decision making often requires reasoning with part…
cs.RO2019★ 1 cited
Guided Exploration of Human Intentions for Human-Robot Interaction
Min Chen, David Hsu, Wee Sun Lee
Robot understanding of human intentions is essential for fluid human-robot interaction. Intentions, however, cannot be directly observed and must be inferred from behaviors. We lea…
cs.LG2012★ 22 cited
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…