3 papers
q-fin.CP2026
Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution
Christos Spyridon Koulouris, Carlo Campajola
In this paper, we investigate whether deep reinforcement-learning agents interacting in a shared optimal-execution environment can sustain supra-competitive outcomes, in the sense…
cs.CE2025
Concentration in Governance Control Across Decentralised Finance Protocols
Thomas Eisermann, Carlo Campajola, Claudio J. Tessone +1
Blockchain-based systems are frequently governed through tokens that grant their holders voting rights over core protocol functions and funds. The centralisation occurring in Decen…
cs.SI2024
Heterogeneity- and homophily-induced vulnerability of a P2P network formation model: the IOTA auto-peering protocol
Yu Gao, Carlo Campajola, Nicolo Vallarano +2
IOTA is a distributed ledger technology that relies on a peer-to-peer (P2P) network for communications. Recently an auto-peering algorithm was proposed to build connections among I…