2 citations · 2 across the 4 of their papers we have counts for
6 papers
Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders
Victor-Alexandru Darvariu, Charlotte Z. Reed, Jan Stratmann +21
Underwater glider robots have become indispensable for ocean sampling, yet fully autonomous long-term operation remains rare in practice. Although stakeholders are calling for tool…
JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
Ufuk Çakır, Victor-Alexandru Darvariu, Bruno Lacerda +1
Artificial intelligence methods are increasingly being explored for managing wildfires and other natural hazards. In particular, reinforcement learning (RL) is a promising path tow…
Accelerating Atomic Fine Structure Determination with Graph Reinforcement Learning
M. Ding, V. -A. Darvariu, A. N. Ryabtsev +2
Atomic data determined by analysis of observed atomic spectra are essential for plasma diagnostics. For each low-ionisation open d- and f-subshell atomic species, around fin…
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
Alexei Pisacane, Victor-Alexandru Darvariu, Mirco Musolesi
Graph path search is a classic computer science problem that has been recently approached with Reinforcement Learning (RL) due to its potential to outperform prior methods. Existin…
Reinforcement Learning on Encrypted Data
Alberto Jesu, Victor-Alexandru Darvariu, Alessandro Staffolani +2
The growing number of applications of Reinforcement Learning (RL) in real-world domains has led to the development of privacy-preserving techniques due to the inherently sensitive…
Solving Graph-based Public Good Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
Public goods games represent insightful settings for studying incentives for individual agents to make contributions that, while costly for each of them, benefit the wider society.…