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

First place ILDM team in RangL Pathways to Net Zero challenge

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: and