5 citations · 5 across the 4 of their papers we have counts for
4 papers
Certifying cooperation: a novel approach to cooperative multi-agent task generation
Yannick Molinghen, Hugo Charels, Tom Lenaerts
A shared reward gives agents a common objective, but leaves open when, how and even whether they must cooperate to succeed. We address these questions in the Laser Learning Environ…
Zero-Incentive Dynamics: a look at reward sparsity through the lens of unrewarded subgoals
Yannick Molinghen, Tom Lenaerts
This work re-examines the commonly held assumption that the frequency of rewards is a reliable measure of task difficulty in reinforcement learning. We identify and formalize a str…
FRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection
Daniele Lunghi, Yannick Molinghen, Alkis Simitsis +2
Adversarial attacks pose a significant threat to data-driven systems, and researchers have spent considerable resources studying them. Despite its economic relevance, this trend la…
Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
Yannick Molinghen, Raphaël Avalos, Mark Van Achter +2
We introduce the Laser Learning Environment (LLE), a collaborative multi-agent reinforcement learning environment in which coordination is central. In LLE, agents depend on each ot…