Stackelberg equilibrium in a dynamic stimulation model with complete information
From MaRDI portal
Publication:1796245
DOI10.1134/S0005117918040112zbMath1397.91109OpenAlexW2798017576WikidataQ129980471 ScholiaQ129980471MaRDI QIDQ1796245
Guennady A. Ougolnitsky, Dmitry B. Rokhlin
Publication date: 17 October 2018
Published in: Automation and Remote Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s0005117918040112
Related Items (2)
Optimal Incentive Strategy in a Continuous Time Inverse Stackelberg Game ⋮ A Markovian mechanism of proportional resource allocation in the incentive model as a dynamic stochastic inverse Stackelberg game
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A review of dynamic Stackelberg game models
- Dynamic models of conflicts. III: Hierarchical games
- Phenomena in inverse Stackelberg games. II: Dynamic problems
- Phenomena in inverse Stackelberg games. I: Static problems
- Handbook of applied analysis
- Sequential Stackelberg equilibria in two-person games
- Stochastic optimal control. The discrete time case
- Incentive mechanisms in dynamic active systems
- Conditions for the uniqueness of optimal policies of discounted Markov decision processes
- Information structure, Stackelberg games, and incentive controllability
- Load adaptive pricing: An emerging tool for electric utilities
- Game-theory analysis of a two-level hierarchical control system
- Universally Measurable Policies in Dynamic Programming
- A First Course in Optimization Theory
- Average Optimality in Dynamic Programming with General State Space
- Introduction to Theory of Control in Organizations
- Discounted Dynamic Programming
- Optimality Inequalities for Average Cost Markov Decision Processes and the Stochastic Cash Balance Problem
- Incentive-Based Pricing for Network Games with Complete and Incomplete Information
This page was built for publication: Stackelberg equilibrium in a dynamic stimulation model with complete information