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Learning Optimal Contracts: How to Exploit Small Action Spaces
v1v2v3v4 (latest)

Learning Optimal Contracts: How to Exploit Small Action Spaces

International Conference on Learning Representations (ICLR), 2023
18 September 2023
Francesco Bacchiocchi
Matteo Castiglioni
A. Marchesi
Nicola Gatti
ArXiv (abs)PDFHTML

Papers citing "Learning Optimal Contracts: How to Exploit Small Action Spaces"

6 / 6 papers shown
Title
One Action Too Many: Inapproximability of Budgeted Combinatorial Contracts
One Action Too Many: Inapproximability of Budgeted Combinatorial Contracts
M. Feldman
Yoav Gal-Tzur
Tomasz Ponitka
Maya Schlesinger
92
0
0
25 Nov 2025
Fair Contracts
Fair Contracts
Matteo Castiglioni
Junjie Chen
Yingkai Li
70
0
0
15 Jul 2025
Budget-Feasible Contracts
Budget-Feasible ContractsACM Conference on Economics and Computation (EC), 2025
M. Feldman
Yoav Gal-Tzur
Tomasz Ponitka
Maya Schlesinger
167
4
0
02 Apr 2025
Regret Minimization for Piecewise Linear Rewards: Contracts, Auctions, and BeyondACM Conference on Economics and Computation (EC), 2025
Francesco Bacchiocchi
Matteo Castiglioni
A. Marchesi
N. Gatti
172
3
0
03 Mar 2025
Contract Design Under Approximate Best Responses
Contract Design Under Approximate Best Responses
Francesco Bacchiocchi
Jiarui Gan
Matteo Castiglioni
A. Marchesi
N. Gatti
229
0
0
21 Feb 2025
Are Bounded Contracts Learnable and Approximately Optimal?
Are Bounded Contracts Learnable and Approximately Optimal?
Yurong Chen
Zhaohua Chen
Xiaotie Deng
Zhiyi Huang
87
11
0
22 Feb 2024
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