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A Computational Experiment with Sequential Pricing Algorithms ...


A computational experiment with sequential pricing algorithms ...

By extending a previous model developed in Klein (2021), I find that sequential Q-learning algorithms converge to supracompetitive outcomes despite they operate ...

A Computational Experiment with Sequential Pricing Algorithms ...

This paper investigates whether Q-learning algorithms can learn to collude in a setting with sequential price competition and stochastic marginal costs adapted ...

A Computational Experiment with Sequential Pricing Algorithms ...

Abstract. Firms increasingly delegate their strategic decisions to algorithms. A potential concern is that algorithms may undermine competition by leading to ...

Collusion and Artificial Intelligence: A computational experiment with ...

This paper investigates whether Q-learning algorithms can learn to collude in a setting with sequential price competition and stochastic marginal costs adapted ...

A computational experiment with sequential pricing algorithms ...

Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs ... Abstract: Firms ...

a computational experiment with sequential pricing algorithms under ...

Firms increasingly delegate their strategic decisions to algorithms. A potential concern is that algorithms may undermine competition by leading ...

Autonomous Algorithmic Collusion: Q-Learning Under Sequential ...

Brown and MacKay (2020) show theoretically that pricing algorithms lead to higher prices in a model where firms use algorithms to implement a contingent pricing ...

A sequential smoothing algorithm with linear computational cost - jstor

hidden Markov process Xt. The model is given by a state equation and an observation equation, which can be represented in terms of conditional distributions: Xt ...

Algorithmic-Collusion.pdf - Stanford Law School

Computational modelling has demonstrated these risks by showing that in many instances self-learning pricing algorithms lead to collusive ...

Autonomous algorithmic collusion: Q‐learning under sequential ...

Prices are increasingly set by algorithms. One concern is that intelligent algorithms may learn to collude on higher prices even in the ...

AI pricing algorithms under platform competition

The Armstrong model has a unique interior equilibrium when the mismatch cost is high enough compared to network effects. In what follows, we ...

NBER WORKING PAPER SERIES ARTIFICIAL INTELLIGENCE ...

“Autonomous algorithmic collusion: Q-learning under sequential pricing.” Amsterdam Law School Research Paper no. 2018–15. Kühn, Kaiuwe, and Steve Tadelis ...

Sequential design of computer experimentsfor the estimation ... - arXiv

The mapping XN will be referred to as a strategy, or policy, or design of experiments, and bαN will be called an estimator. The algorithm (XN , bαN ) describes ...

(PDF) Autonomous algorithmic collusion: Q‐learning under ...

PDF | Prices are increasingly set by algorithms. One concern is that intelligent algorithms may learn to collude on higher prices even in the absence of.

Finish Them!: Pricing Algorithms for Human Computation

A Semi-Static Pricing Strategy generates a sequence of prices ... pricing experiment in the previous section. The ... Finish them!: Pricing Algorithms for Human.

Parallel branch-and-price algorithms for the single machine total ...

We investigate the problem on a single machine with a total weighted tardiness objective function and sequence-dependent setup times. First, we ...

Competition in Pricing Algorithms - Harvard Business School

... pricing technology than firm 1. The result is equivalent to a sequential pricing model, where first firm 1 chooses a price and then is ...

A sequential smoothing algorithm with linear computational cost

This compares favourably with the O(N2) computational cost of most smoothers. The new method also overcomes some degeneracy problems in existing algorithms.

On the Complexity of Sequential Posted Pricing - ACM Digital Library

Moreover, we extend our algorithm to cases when the values are decayed with time or the item has several copies. To the best of our knowledge, ...

Autonomous algorithmic collusion: Q-learning under sequential pricing

(2020) provide a discussion of such real-world algorithms and Den Boer (2015) a review on dynamic pricing in the operations research literature.