selflearning
AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU
AI in Market Economics and Pricing Algorithms AI-driven pricing models, particularly those utilizing reinforcement learning (RL), can lead to outcomes resembling traditional collusion, fundamentally altering market dynamics. Unlike human-set strategies in oligopoly models, AI agents, like Q-learning, autonomously learn pricing strategies from data, often resulting in supra-competitive pricing due to agents’ ability to detect rivals’…
The ‘era of experience’ will unleash self-learning AI agents across the web—here’s how to prepare
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More David Silver and Richard Sutton, two renowned AI scientists, argue in a new paper that artificial intelligence is about to enter a new phase, the “Era of Experience.” This is where AI systems rely increasingly less…