:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Karimzadeh, Aigin, Zakery, Amir, Mohammadi, Mohammadreza, Yavari, Ali
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Science and Game Theory
Accesso online:	https://arxiv.org/abs/2402.05949
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

No-regret incentive-compatible online learning under exact truthfulness with non-myopic experts
di: Komiyama, Junpei, et al.
Pubblicazione: (2025)

On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: A regret lower bound for WSU-UX
di: Mortazavi, Ali, et al.
Pubblicazione: (2024)

Group-wise oracle-efficient algorithms for online multi-group learning
di: Deng, Samuel, et al.
Pubblicazione: (2024)

Predicting human decisions with behavioral theories and machine learning
di: Plonsky, Ori, et al.
Pubblicazione: (2019)

Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
di: Sharma, Dravyansh, et al.
Pubblicazione: (2025)

Semivalue-based data valuation is arbitrary and gameable
di: Diehl, Hannah, et al.
Pubblicazione: (2025)

A pragmatic policy learning approach to account for users' fatigue in repeated auctions
di: Heymann, Benjamin, et al.
Pubblicazione: (2024)

Sink equilibria and the attractors of learning in games
di: Biggar, Oliver, et al.
Pubblicazione: (2025)

High dimensional online calibration in polynomial time
di: Peng, Binghui
Pubblicazione: (2025)

Improved learning rates in multi-unit uniform price auctions
di: Potfer, Marius, et al.
Pubblicazione: (2025)

Game of arrivals at a two queue network with heterogeneous customer routes
di: Bandyopadhyay, Agniv, et al.
Pubblicazione: (2023)

On the Convergence of Federated Learning Algorithms without Data Similarity
di: Beikmohammadi, Ali, et al.
Pubblicazione: (2024)

Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
di: Lei, Qi, et al.
Pubblicazione: (2020)

C2:Cross learning module enhanced decision transformer with Constraint-aware loss for auto-bidding
di: Ding, Jinren, et al.
Pubblicazione: (2026)

Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
di: Yuwono, Steve, et al.
Pubblicazione: (2024)

Ordinal Potential-based Player Rating
di: Vadori, Nelson, et al.
Pubblicazione: (2023)

Bayesian Strategic Classification
di: Cohen, Lee, et al.
Pubblicazione: (2024)

ShapG: new feature importance method based on the Shapley value
di: Zhao, Chi, et al.
Pubblicazione: (2024)

Data Trading Combination Auction Mechanism based on the Exponential Mechanism
di: Chen, Kongyang, et al.
Pubblicazione: (2024)

Intelligent Agents for Auction-based Federated Learning: A Survey
di: Tang, Xiaoli, et al.
Pubblicazione: (2024)

Autobidding Arena: unified evaluation of the classical and RL-based autobidding algorithms
di: Pudovikov, Andrey, et al.
Pubblicazione: (2025)

Unending Sequential Auctions
di: Ban, Amir
Pubblicazione: (2025)

Adaptive Two-sided Assortment Optimization: Revenue Maximization
di: Ahmadnejadsaein, Mohammadreza, et al.
Pubblicazione: (2025)

A Hybrid Game-Theory and Deep Learning Framework for Predicting Tourist Arrivals via Big Data Analytics and Opinion Leader Detection
di: Nikseresht, Ali
Pubblicazione: (2025)

A game-theoretic approach for Generative Adversarial Networks
di: Franci, Barbara, et al.
Pubblicazione: (2020)

The Bounds of Algorithmic Collusion; $Q$-learning, Gradient Learning, and the Folk Theorem
di: Askenazi-Golan, Galit, et al.
Pubblicazione: (2024)

An improved bound for the price of anarchy for related machine scheduling
di: Berger, Andre, et al.
Pubblicazione: (2024)

Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach
di: Bae, Sangjun, et al.
Pubblicazione: (2024)

Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems
di: Yuwono, Steve, et al.
Pubblicazione: (2024)

Almost Envy-free Allocation of Indivisible Goods: A Tale of Two Valuations
di: Kaviani, Alireza, et al.
Pubblicazione: (2024)

Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
di: Shapira, Eilam, et al.
Pubblicazione: (2023)

Computational bounds on randomized algorithms for online bin stretching
di: Lhomme, Antoine, et al.
Pubblicazione: (2024)

The Oracle Complexity of Simplex-based Matrix Games
di: Kornowski, Guy, et al.
Pubblicazione: (2024)

On the Impact of the Utility in Semivalue-based Data Valuation
di: Tamine, Mélissa, et al.
Pubblicazione: (2025)

Selling Information in Competitive Environments
di: Bonatti, Alessandro, et al.
Pubblicazione: (2022)

An Auction-based Marketplace for Model Trading in Federated Learning
di: Cui, Yue, et al.
Pubblicazione: (2024)

Measuring productivity in networks: A game-theoretic approach
di: Allouch, N., et al.
Pubblicazione: (2024)

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
di: Lv, Xinpeng, et al.
Pubblicazione: (2025)

Blind Inverse Game Theory: Jointly Decoding Rewards and Rationality in Entropy-Regularized Competitive Games
di: Virk, Hamza, et al.
Pubblicazione: (2025)

Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
di: Masiha, Saeed, et al.
Pubblicazione: (2026)