5 citations · 8 across the 3 of their papers we have counts for
4 papers
On-the-Fly Data Augmentation for Brain Tumor Segmentation
Ishika Jain, Siri Willems, Steven Latre +1
Robust segmentation across both pre-treatment and post-treatment glioma scans can be helpful for consistent tumor monitoring and treatment planning. BraTS 2025 Task 1 addresses thi…
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans +5
Recent work in multi-agent reinforcement learning has investigated inter agent communication which is learned simultaneously with the action policy in order to improve the team rew…
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste +4
By using communication between multiple agents in multi-agent environments, one can reduce the effects of partial observability by combining one agent's observation with that of ot…
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Over its lifetime, a reinforcement learning agent is often tasked with different tasks. How to efficiently adapt a previously learned control policy from one task to another, remai…