Qi’s ICML paper on model-based meta learning got accepted. Congratulation, Qi! A pre-print is available on here.
Two IJCAI papers accepted
Two of our IJCAI submissions were accepted:
With Niklas Höpner & Ilaria Tiddi: Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods (pre-print)
With Jan Wöhlke & Felix Schmitt: Value Refinement Network (VRN) (earlier version)
Congrats Jan & Niklas!
New working paper on class abstractions in RL
Niklas Höpner has recently posted his working paper on leveraging class abstraction for commonsense reinforcement learning. It is available on the arXiv.
CPAIOR paper accepted
Wouter Kool’s paper “Deep policy dynamic programming for vehicle routing problems” was accepted to CPAIOR. Congratulations! A preprint is available on the arXiv.
ICLR paper accepted
AAAI paper accepted
Alex Long’s AAAI submission on Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation got accepted for presentation! The paper is the result of a collaboration started when Alex visited us at UvA. Congrats, Alex!
Several working papers posted
We’ve recently posted several working papers that I hope you’ll find interesting:
- Amin, S., Gomrokchi, M., Satija, H., van Hoof, H., & Precup, D. (2021). A Survey of Exploration Methods in Reinforcement Learning. arXiv preprint arXiv:2109.00157.
- Kool, W., van Hoof, H., Gromicho, J., & Welling, M. (2021). Deep Policy Dynamic Programming for Vehicle Routing Problems. arXiv preprint arXiv:2102.11756.
New publications
Jan Woehlke’s paper “Hierarchies of Planning and Reinforcement Learning for Robot Navigation” was accepted for presentation at the International Conference on Robotics and Automation.
Yijie Zhang got his paper “Deep Coherent Exploration For Continuous Control” accepted for presentation in the International Conference on Machine Learning.
Congrats Yijie & Jan! Links to the papers / preprint will follow soon on the publication page.
Amlab is looking for two assistant professors in Machine Learning
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.
Open position for postdoctoral researcher
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.