With Julia Olkhovskaia as the main supervisor, I am looking for a (fully paid) PhD student.
See details on my vacancy page.
With Julia Olkhovskaia as the main supervisor, I am looking for a (fully paid) PhD student.
See details on my vacancy page.
At TU Delft, we are recruiting an assist/assoc. professor in causal reinforcement learning.
More info here.
For the Volkskrant, I commented on the Stratego article in science. Read it here.
The talk that I gave for the Berkeley MARL seminar can now be seen on youtube.
It gives an introduction to ideas of influence-based abstraction, focusing also on the inspirations from multiagent planning, as well as implications for future MARL.
Our paper Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems was accepted to NeurIPS! It shows how influence-based abstraction can be used to parallelize and thus speed up multiagent reinforcement learning, while stabilizing the learning at the same time.
Our group will be presenting 2 papers at ICML’22:
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Come find us at ICML, or reach out over email!
We are still looking for a 3 year postdoc who wants to do *fundamental* RL research,with the potential to impact the real world.
This is a position in the Mercury machine learning lab with UvA and booking.com
Info here
There are 4 ILDM papers that will be presented at the main AAMAS conference. Here is the schedule in CEST:
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning
Markus Peschl, Arkady Zgonnikov, Frans Oliehoek and Luciano Siebert
1A2-2 – CEST (UTC +2) Wed, 11 May 2022 18:00
2C5-1 – CEST (UTC +2) Thu, 12 May 2022 09:00
Best-Response Bayesian Reinforcement Learning with BA-POMDPs for Centaurs
Mustafa Mert Çelikok, Frans A. Oliehoek and Samuel Kaski
2C2-2 – CEST (UTC +2) Thu, 12 May 2022 10:00
2A4-3 – CEST (UTC +2) Thu, 12 May 2022 20:00
LEARN BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs
Sammie Katt, Hai Nguyen, Frans Oliehoek and Christopher Amato
1A2-2 – CEST (UTC +2) Wed, 11 May 2022 18:00
3B3-2 – CEST (UTC +2) Fri, 13 May 2022 03:00
Miguel Suau, Jinke He, Matthijs Spaan and Frans Oliehoek
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators
Poster session PDC2 – CEST (UTC +2) Thu, 12 May 2022 12:00
Poincaré-Bendixson Limit Sets in Multi-Agent Learning (Best paper runner-up)
Aleksander Czechowski and Georgios Piliouras
1A4-1 11th May 5pm CEST
3C1-1 13th May 9am CEST
I was elected as a senior member of the association for the advancement of artificial intelligence (AAAI). The senior member status recognizes “AAAI members who have achieved significant accomplishments within the field of artificial intelligence”. I thank my nominators and the committee for this great honor.
Aleksander Czechowski and Jinke He are one of the winning teams (‘Epsilon-greedy’) of The RangL Pathways to Net Zero challenge!
The challenge was to find the optimal pathway to a carbon neutral 2050. ‘RangL’ is a competition platform created at The Alan Turing Institute as a new model of collaboration between academia and industry. RangL offers an AI competition environment for practitioners to apply classical and machine learning techniques and expert knowledge to data-driven control problems.
More information: https://rangl.org/blog/ and https://github.com/rangl-labs/netzerotc.