Our lab is recruiting two new assistant professors in machine learning (any subfield, e.g. probabilistic programming, ML for or using combinatorial optimization, RL, …). More info on our institutes vacancy page.
Update: Position has closed. Any jobs in our institute will be advertised here.
We are currently looking for a postdoctoral researcher for a collaboration on reinforcement learning with structured data. The position is offered as part of a collaboration with Elsevier and several other labs in Amsterdam. The collaboration will focus on fundamental research. More details can be found in the vacancy portal. Also please use the portal to submit your application if interested. Feel free to share the vacancy with anyone that might be interested.
This month, two new PhD students joined AMLAB to work with me on two exciting projects:
Matthew will be working on finding robust train shunting heuristics using deep reinforcement learning, in a public-private partnership together with NS Reizigers and NWO.
Two of our submissions to NeurIPS were accepted. Elise’s work on MDP homomorphic networks focuses on exploiting symmetries in the state-action space, and is already available as preprint here. Tim’s work focuses on the use of policy search strategies to optimize MRI acquisition strategies. Congrats, Tim and Elise!
Jin Huang got a paper accepted into RecSys 2020. Her paper focuses on learning a debiased simulator from a biased data to train recommender agents using reinforcement learning. Congrats Jin!
Qi Wang’s paper on neural processes with hierarchical latent variables was accepted to ICML. Congrats, Qi!
We have an open PhD position on finding heuristics using deep reinforcement learning for complex planning problems. Besides the university of Amsterdam, this project involves NS (Dutch railways) and the HU University of Applied Sciences, Utrecht. More information here.
The Delta lab will host a talk by dr. Jens Kober on “Robots Learning (Through) Interactions” on May 7th. Due to current Covid-19 restrictions, the talk will be live-streamed. More information on the Delta lab page.
(Position is now closed)
We have an open PhD position on the topic of using symbolic knowledge representation as prior knowledge in reinforcement learning systems. This position is part of the Hybrid Intelligence centre, where we are currently recruiting 13 PhDs and postdocs across the Netherlands with another 14 positions to be announced soon. To directly apply for the position on hybrid approaches for learning sequential behavior, click here.
Wouter Kool’s paper on ancestral Gumbel-top-K sampling for sampling without replacement from large structured domains is now published in JMLR (Kool, van Hoof & Welling, pdf). Congratulations, Wouter!