M Imani, SF Ghoreishi, UM Braga-Neto - researchgate.net
We propose a Bayesian decision making framework for control of Markov Decision Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
M Imani, SF Ghoreishi, UM Braga-Neto - scholar.archive.org
We propose a Bayesian decision making framework for control of Markov Decision Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
M Imani, SF Ghoreishi… - Advances in Neural …, 2018 - proceedings.neurips.cc
We propose a Bayesian decision making framework for control of Markov Decision Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
M Imani, SF Ghoreishi, UM Braga-Neto - Proceedings of the 32nd …, 2018 - dl.acm.org
We propose a Bayesian decision making framework for control of Markov Decision Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
M Imani, SF Ghoreishi, UM Braga-Neto - academia.edu
We propose a Bayesian decision making framework for control of Markov Decision Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
M Imani, SF Ghoreishi, UM Braga-Neto - papers.neurips.cc
We propose a Bayesian decision making framework for control of Markov Decision Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …