Beyond Supra-Competitive Outcomes: Collusive Behaviour in Deep Reinforcement Learning for Optimal Execution Games
q-fin.TR, cs.AI
Submitted: 2026-09-30
Updated: 2026-09-30
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Reinforcement Learning in Queue-Reactive Models: Application to Optimal Execution
- Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution
- Proximal Policy Optimization Algorithms
- AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion
- Mitigating Retaliatory Algorithmic Collusion in Repeated Games