most citedMulti-Objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

physics.soc-ph2026

Clustering in co-evolving opinion dynamics: reduced SPDE models

Sebastian Zimper, Nataša Djurdjevac Conrad, Federico Cornalba +1

Clustering is a fundamental collective phenomenon in agent-based models (ABMs) of opinion dynamics. To study clustering in systems with co-evolving social and opinion variables, we…

cs.LG2022★ 3 cited

Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading

Federico Cornalba, Constantin Disselkamp, Davide Scassola +1

We investigate the potential of Multi-Objective, Deep Reinforcement Learning for stock and cryptocurrency single-asset trading: in particular, we consider a Multi-Objective algorit…