Add to ORKGWe clarify the difference between the asynchronous pricing algorithms analyzed by Asker, Fershtman and Pakes (2021) and those considered in the previous literature. The difference lies in the way the algorithms explore: randomly or mechanically. We reaffirm that with random exploration, asynchronous pricing algorithms learn genuinely collusive strategies
Prices in electronic markets more and more get set by algorithms. If these algorithms are self-learn...
Algorithmic collusion has the potential to transform future markets, leading to higher prices and co...
Algorithms play an increasingly important role in economic activity, as they become faster and smar...
Reinforcement-learning pricing algorithms sometimes converge to supra-competitive prices even in mar...
Increasingly, algorithms are supplanting human decision-makers in pricing goods and services. To ana...
Fil: Ballestero, Gonzalo. Universidad de San Andrés. Departamento de Economía; Argentina.Firms incre...
First published online: October 2020Increasingly, algorithms are supplanting human decision-makers i...
Markets are being populated with new generations of pricing algorithms, powered with Artificial Int...
Markets are being populated with new generations of pricing algorithms, powered with Artificial Inte...
Pricing decisions are increasingly in the “hands” of artificial algorithms. Scholars and competition...
Advances in artificial intelligence accelerate the digitization of pricing in various industry domai...
Pricing decisions are increasingly made by algorithms. To assess if reinforcement learning algorithm...
We develop a theoretical model to study strategic interactions between adaptive learning algorithms....
Algorithmic collusion has the potential to transform future markets, leading to higher prices and co...
Recent academic research has extensively examined algorithmic collusion resulting from the utilizati...
Prices in electronic markets more and more get set by algorithms. If these algorithms are self-learn...
Algorithmic collusion has the potential to transform future markets, leading to higher prices and co...
Algorithms play an increasingly important role in economic activity, as they become faster and smar...
Reinforcement-learning pricing algorithms sometimes converge to supra-competitive prices even in mar...
Increasingly, algorithms are supplanting human decision-makers in pricing goods and services. To ana...
Fil: Ballestero, Gonzalo. Universidad de San Andrés. Departamento de Economía; Argentina.Firms incre...
First published online: October 2020Increasingly, algorithms are supplanting human decision-makers i...
Markets are being populated with new generations of pricing algorithms, powered with Artificial Int...
Markets are being populated with new generations of pricing algorithms, powered with Artificial Inte...
Pricing decisions are increasingly in the “hands” of artificial algorithms. Scholars and competition...
Advances in artificial intelligence accelerate the digitization of pricing in various industry domai...
Pricing decisions are increasingly made by algorithms. To assess if reinforcement learning algorithm...
We develop a theoretical model to study strategic interactions between adaptive learning algorithms....
Algorithmic collusion has the potential to transform future markets, leading to higher prices and co...
Recent academic research has extensively examined algorithmic collusion resulting from the utilizati...
Prices in electronic markets more and more get set by algorithms. If these algorithms are self-learn...
Algorithmic collusion has the potential to transform future markets, leading to higher prices and co...
Algorithms play an increasingly important role in economic activity, as they become faster and smar...