Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning

1 code implementation • 29 Jun 2023 • Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic

Many applications, e. g., in shared mobility, require coordinating a large number of agents.

reinforcement-learning

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning

no code implementations • 8 Jul 2021 • Barna Pásztor, Ilija Bogunovic, Andreas Krause

Learning in multi-agent systems is highly challenging due to several factors including the non-stationarity introduced by agents' interactions and the combinatorial nature of their state and action spaces.

Gaussian Processes Model-based Reinforcement Learning +2

On the impact of publicly available news and information transfer to financial markets

1 code implementation • 22 Oct 2020 • Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm

We quantify the propagation and absorption of large-scale publicly available news articles from the World Wide Web to financial markets.