Congrats to Rolf and all the other coathors on getting a paper accepted at TMLR! The paper shows how the technique for doing Bayesian RL in factored POMDPs (yes, we retain beliefs over the causal working of the world!) developed in earlier work can be combined with abstraction methods. More info here.
Category: news
Outstanding Paper Award on Scientific Understanding @ RLC 2024
Very proud of my (graduated) student Miguel. His persistence made the difference for this final part of his PhD thesis!
Looking for PhD student
With Julia Olkhovskaia as the main supervisor, I am looking for a (fully paid) PhD student.
See details on my vacancy page.
Wanted: assist./assoc. professor in causal reinforcement learning
At TU Delft, we are recruiting an assist/assoc. professor in causal reinforcement learning.
More info here.
Comments for Volkskrant
For the Volkskrant, I commented on the Stratego article in science. Read it here.
Berkeley MARL Seminar talk online
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.
DIALS accepted to NeurIPS’22
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.
2 ILDM papers to appear at ICML
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!
ILDM@AAMAS
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
Senior Member AAAI
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.