MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management

Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature.However, existing RL-based approaches rarely focus on scalability or reusability to adapt to the ever-changing markets.These approaches are rigid and unscalable to accommodate the varying number of

read more

Radiobiological evaluation of the influence of dwell time modulation restriction in HIPO optimized HDR prostate brachytherapy implants

Purpose: One of the issues that a planner is often facing in HDR brachytherapy is the selective existence of high dose volumes around some few dominating dwell positions.If there is no information available about its necessity (e.g.location of a GTV), then it is reasonable to investigate whether this can be avoided.This effect can be eliminated by

read more