Matching Markets meet Cumulative Prospect Theory: Towards Optimal and Adversarially Robust Learning
Ananya Kunisetty, Avishek Ghosh
cs.LG, stat.ML
Submitted: 2026-06-18
Comments: Accepted at ECML-PKDD 2026, Naples, Italy
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
- Bandit algorithms to emulate human decision making using probabilistic distortions
- A Survey of Risk-Aware Multi-Armed Bandits
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