博士申请 | 代尔夫特理工大学招收强化学习博士生(年薪22万-28万)
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TU Delft
Reinforcement learning (RL) 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.
Conditions of employment
Additional information
For information about this vacancy, please contact Dr. Matthijs Spaan <[email protected]> and Dr. Frans Oliehoek , who will be the supervisors for these positions.
Application procedure
Please apply before August 23, 2021 via the link below and upload your motivation and CV.
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
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