Cover Image

Jackpot! Alignment as a Maximal Lottery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maura-Rivero, Roberto-Rafael, Lanctot, Marc, Visin, Francesco, Larson, Kate
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning Theoretical Economics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)

Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics
by: Yang, Yucheng, et al.
Published: (2025)

Preference Learning with Response Time: Robust Losses and Guarantees
by: Sawarni, Ayush, et al.
Published: (2025)

Prospect-Theory Behavior from Bellman Optimality in MDPs with Catastrophic States
by: Chen, Yujiao
Published: (2026)

The Burden of Interactive Alignment with Inconsistent Preferences
by: Shirali, Ali
Published: (2025)

Continuous Classification Aggregation
by: Meng, Zijun
Published: (2025)

Contracting with a Learning Agent
by: Guruganesh, Guru, et al.
Published: (2024)

Generalized Principal-Agent Problem with a Learning Agent
by: Lin, Tao, et al.
Published: (2024)

A Regret Analysis of Bilateral Trade
by: Cesa-Bianchi, Nicolò, et al.
Published: (2021)

Group Selection as a Safeguard Against AI Substitution
by: Zhong, Qiankun, et al.
Published: (2026)

The Pseudo-Dimension of Contracts
by: Duetting, Paul, et al.
Published: (2025)

Fraud-Proof Revenue Division on Subscription Platforms
by: Ghosh, Abheek, et al.
Published: (2025)

Persuasive Calibration
by: Feng, Yiding, et al.
Published: (2025)

Efficient Inverse Multiagent Learning
by: Goktas, Denizalp, et al.
Published: (2025)

Are Bounded Contracts Learnable and Approximately Optimal?
by: Chen, Yurong, et al.
Published: (2024)

Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
by: Wu, Jibang, et al.
Published: (2024)

No Screening is More Efficient with Multiple Objects
by: Noda, Shunya, et al.
Published: (2024)

Paid with Models: Optimal Contract Design for Collaborative Machine Learning
by: Wang, Bingchen, et al.
Published: (2024)

Human strategic decision making in parametrized games
by: Ganzfried, Sam
Published: (2021)

Calibeating Made Simple
by: Chen, Yurong, et al.
Published: (2026)

A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search
by: Cai, Yang, et al.
Published: (2026)

Model-Based Soft Maximization of Suitable Metrics of Long-Term Human Power
by: Heitzig, Jobst, et al.
Published: (2025)

Pricing AI Model Accuracy
by: Kumar, Nikhil
Published: (2025)

NDAI Agreements
by: Stephenson, Matthew, et al.
Published: (2025)

Token Is All You Price
by: Zhong, Weijie
Published: (2025)

The Economics of AI Foundation Models: Openness, Competition, and Governance
by: Xu, Fasheng, et al.
Published: (2025)

Market-based Architectures in RL and Beyond
by: Sudhir, Abhimanyu Pallavi, et al.
Published: (2025)

Optimal Use of Preferences in Artificial Intelligence Algorithms
by: Gans, Joshua S.
Published: (2026)

Failures of Contingent Thinking
by: Piermont, Evan, et al.
Published: (2020)

Generative AI and Copyright: A Dynamic Perspective
by: Yang, S. Alex, et al.
Published: (2024)

Learning what they think vs. learning what they do: The micro-foundations of vicarious learning
by: Park, Sanghyun, et al.
Published: (2020)

Cheap Talking Algorithms
by: Condorelli, Daniele, et al.
Published: (2023)

AI-powered mechanisms as judges: Breaking ties in chess
by: Anbarci, Nejat, et al.
Published: (2022)

Learning Macroeconomic Policies through Dynamic Stackelberg Mean-Field Games
by: Mi, Qirui, et al.
Published: (2024)

A Model of Artificial Jagged Intelligence
by: Gans, Joshua
Published: (2026)

Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
by: Jia, Jingru, et al.
Published: (2024)

A General Framework for Estimating Preferences Using Response Time Data
by: Echenique, Federico, et al.
Published: (2025)

Markets for Models
by: Dasaratha, Krishna, et al.
Published: (2025)

The Hidden Cost of Waiting for Accurate Predictions
by: Shirali, Ali, et al.
Published: (2025)

Beyond Softmax: A New Perspective on Gradient Bandits
by: Melo, Emerson, et al.
Published: (2025)