← Search

Ivan Masmitja

2 accepted papers

2026

Scaling Multi-Agent Reinforcement Learning for Underwater Acoustic Tracking Via Autonomous Vehicles

ICRA 2026poster

Autonomous vehicles (AVs) offer a cost-effective solution for scientific missions such as underwater tracking. Reinforcement learning (RL) has emerged as a powerful method for controlling AVs, but scaling to fleets (essential for multi-target tracking or rapidly moving targets) is challenging. Multi…

2025

Simplifying Deep Temporal Difference Learning

ICLR 2025spotlight

$Q$-learning played a foundational role in the field reinforcement learning (RL). However, TD algorithms with off-policy data, such as $Q$-learning, or nonlinear function approximation like deep neural networks require several additional tricks to stabilise training, primarily a large replay buffer…