29 citations · 70 across the 17 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning Trained Observer Control for Bearings-Only Tracking
Branko Ristic, Sanjeev Arulampalam
This paper develops a deep reinforcement learning based observer control policy for autonomous bearings-only tracking of a moving target. The observer manoeuvre problem is formulat…
Credal Valuation Networks for Machine Reasoning Under Uncertainty
Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam
Contemporary undertakings provide limitless opportunities for widespread application of machine reasoning and artificial intelligence in situations characterised by uncertainty, ho…
Autonomous search for a diffusive source in an unknown environment
Branko Ristic, Alex Skvortsov, Andrew Walker
The paper presents an approach to olfactory search for a diffusive emitting source of tracer (e.g. aerosol, gas) in an environment with unknown map of randomly placed and shaped ob…