Two funded PhD positions on Reinforcement Learning in the Real World at TU Delft
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Frans Oliehoek
Jul 21, 2021, 8:11:35 AM7/21/21
to Frans Oliehoek - EWI, Matthijs Spaan
(apologies for cross-posting)
Do you have what it takes to push reinforcement learning beyond the
realm of games?
TU Delft (Netherlands) offers 2 PhD positions focusing on reinforcement
learning in the recently established Mercury Machine Learning Lab
(MMLL). In this lab, researchers from the University of Amsterdam and
Delft University of Technology will be working together with data
scientists from Booking.com to develop more usable reinforcement
learning and other machine learning techniques.
Reinforcement learning is a promising approach to learn to control
decision making problems that extend over time, but so far applications
have been largely limited to synthetic settings such as games. Motivated
by real-world problems faced in industry, we will investigate
fundamental problems in reinforcement learning. For instance, we will
study effective exploration in non-stationary environments and learning
using many parallel trials. The candidates will be jointly supervised by
Dr. M.T.J. Spaan and Dr. F.A. Oliehoek.
The MMLL collaboration provides the unique opportunity to test AI
techniques in the real world, allowing new machine learning methods to
be safely developed for wide application, for example in mobility,
energy or healthcare. In addition to the existing researchers, the
Mercury Machine Learning Lab will comprise six PhD candidates and two
postdocs who will work on six different projects related to bias and
generalisation problems over the course of the next five years.
Further details and an application form can be found via the following
links.
https://icai.ai/mercury-machine-learning-lab/
https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=3533&jobTitle=2%20PhD%20Positions%20on%20Reinforcement%20Learning%20in%20the%20Real%20World
Application deadline for full consideration: 23 August 2021
Informal enquiries: Matthijs Spaan (m.t.j...@tudelft.nl) and Frans
Oliehoek (f.a.ol...@tudelft.nl).
Do you have what it takes to push reinforcement learning beyond the
realm of games?
TU Delft (Netherlands) offers 2 PhD positions focusing on reinforcement
learning in the recently established Mercury Machine Learning Lab
(MMLL). In this lab, researchers from the University of Amsterdam and
Delft University of Technology will be working together with data
scientists from Booking.com to develop more usable reinforcement
learning and other machine learning techniques.
Reinforcement learning is a promising approach to learn to control
decision making problems that extend over time, but so far applications
have been largely limited to synthetic settings such as games. Motivated
by real-world problems faced in industry, we will investigate
fundamental problems in reinforcement learning. For instance, we will
study effective exploration in non-stationary environments and learning
using many parallel trials. The candidates will be jointly supervised by
Dr. M.T.J. Spaan and Dr. F.A. Oliehoek.
The MMLL collaboration provides the unique opportunity to test AI
techniques in the real world, allowing new machine learning methods to
be safely developed for wide application, for example in mobility,
energy or healthcare. In addition to the existing researchers, the
Mercury Machine Learning Lab will comprise six PhD candidates and two
postdocs who will work on six different projects related to bias and
generalisation problems over the course of the next five years.
Further details and an application form can be found via the following
links.
https://icai.ai/mercury-machine-learning-lab/
https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=3533&jobTitle=2%20PhD%20Positions%20on%20Reinforcement%20Learning%20in%20the%20Real%20World
Application deadline for full consideration: 23 August 2021
Informal enquiries: Matthijs Spaan (m.t.j...@tudelft.nl) and Frans
Oliehoek (f.a.ol...@tudelft.nl).
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