Bayesian control of large MDPs with unknown dynamics in data-poor environments
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 …
Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
[PDF][PDF] Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
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 …
Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
[PDF][PDF] Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
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 …
Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
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 …
Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
Bayesian control of large MDPs with unknown dynamics in data-poor environments
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 …
Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
[PDF][PDF] Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
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 …
Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
[PDF][PDF] Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
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 …
Processes (MDPs) with unknown dynamics and large, possibly continuous, state, action …
