Ivan Conjeaud
Biographic Data
| ID | 8764335 |
|---|---|
| NAME | Ivan Conjeaud |
| GIVEN NAMES | Ivan |
| FAMILY NAME | Conjeaud |
| SIGNATURE | CONJEAUD I |
| AFFILIATIONS | Centre Borelli |
| ORCID | 0009-0003-1544-574X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Recommender systems and efficient social learning
In this paper, I study a model of an online platform with a catalog of items whose qualities are unknown. In each period, the platform chooses what items to show and how to order them in a list. Short-lived users arrive in sequence and browse the list, paying a small cost each time they want to examine a new alternative. The platform observes their behavior and can use it to deduce information about the items’ quality, and use this information to…
Algorithmic collusion with endogenous exploration
I study a two-stage model in which two players simultaneously choose an exploration parameter for their Q-learning algorithms, which then repeatedly play a one-shot game chosen from a class of social dilemmas including the prisoner's dilemma, first and second price auctions as well as Bertrand competition with horizontally differentiated products. The players collect the limit average payoffs obtained by their algorithms. I show that in equilibri…
DeGroot-Based Opinion Formation Under a Global Steering Mechanism
This article investigates how interacting agents arrive to a consensus or a polarized state. We study the opinion formation process under the effect of a global steering mechanism (GSM), which aggregates the opinion-driven stochastic agent states at the network level and feeds back to them a form of global information. We also propose a new two-layer agent-based opinion formation model, called GSM-DeGroot , that captures the coupled dynamics betw…
No prominent works on this page.
Algorithmic collusion with endogenous exploration
I study a two-stage model in which two players simultaneously choose an exploration parameter for their Q-learning algorithms, which then repeatedly play a one-shot game chosen from a class of social dilemmas including the prisoner's dilemma, first and second price auctions as well as Bertrand competition with horizontally differentiated products. The players collect the limit average payoffs obtained by their algorithms. I show that in equilibri…
DeGroot-Based Opinion Formation Under a Global Steering Mechanism
This article investigates how interacting agents arrive to a consensus or a polarized state. We study the opinion formation process under the effect of a global steering mechanism (GSM), which aggregates the opinion-driven stochastic agent states at the network level and feeds back to them a form of global information. We also propose a new two-layer agent-based opinion formation model, called GSM-DeGroot , that captures the coupled dynamics betw…
Recommender systems and efficient social learning
In this paper, I study a model of an online platform with a catalog of items whose qualities are unknown. In each period, the platform chooses what items to show and how to order them in a list. Short-lived users arrive in sequence and browse the list, paying a small cost each time they want to examine a new alternative. The platform observes their behavior and can use it to deduce information about the items’ quality, and use this information to…
Computer Science (3 works) · Artificial Intelligence (2 works) · Advanced Text Analysis Techniques (1 work) · Auction Theory and Applications (1 work) · Business (1 work) · Collusion (1 work) · Complex Network Analysis Techniques (1 work) · Computability, Logic, AI Algorithms (1 work) · Data science (1 work) · Economics (1 work)