2 papers
cs.AI2025
Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
Maël Macuglia, Paul Friedrich, Giorgia Ramponi
Deploying reinforcement learning (RL) in robotics, industry, and health care is blocked by two obstacles: the difficulty of specifying accurate rewards and the risk of unsafe, data…
cs.GT2025
Learning Collusion in Episodic, Inventory-Constrained Markets
Paul Friedrich, Barna Pásztor, Giorgia Ramponi
Pricing algorithms have demonstrated the capability to learn tacit collusion that is largely unaddressed by current regulations. Their increasing use in markets, including oligopol…