Showing 1 - 10 of 651,963
Persistent link: https://www.econbiz.de/10012385066
We examine recent claims that a particular Q-learning algorithm used by competitors 'autonomously' and systematically … detailed analysis of the inner workings of this algorithm reveals that there is no immediate reason for alarm. We set out what … is needed to demonstrate the existence of a colluding price algorithm that does form a threat to competition. …
Persistent link: https://www.econbiz.de/10013375353
Persistent link: https://www.econbiz.de/10012655281
The increased prevalence of pricing algorithms incited an ongoing debate about new forms of collusion. The concern is that intelligent algorithms may be able to forge collusive schemes without being explicitly instructed to do so. I attempt to examine the ability of reinforcement learning...
Persistent link: https://www.econbiz.de/10012617104
This paper undertakes a critical review of the prospect that self-learning pricing algorithms will lead to widespread collusion independently of the intervention and participation of humans. There is no concrete evidence, no example yet, and no antitrust case that self-learning pricing...
Persistent link: https://www.econbiz.de/10013212718
increases, the algorithm considered increasingly converges to supra-competitive asymmetric cycles. I show that results are …
Persistent link: https://www.econbiz.de/10013214544
Persistent link: https://www.econbiz.de/10012542205
well-established self-learning algorithm) learns to profitably coordinate on either a fixed price or on asymmetric price …
Persistent link: https://www.econbiz.de/10011869980
Reinforcement learning (RL) based pricing algorithms have been shown to tacitly collude to set supra-competitive prices in oligopoly models of repeated price competition. We investigate the impact of ranking systems, a common feature of online marketplaces, on algorithmic collusion in prices. We...
Persistent link: https://www.econbiz.de/10014030633