Game theory and control
Game theory is the study of decision problems in which there are multiple decision makers
and the quality of a decision maker's choice depends on both that choice and the choices of …
and the quality of a decision maker's choice depends on both that choice and the choices of …
Deep multi-user reinforcement learning for distributed dynamic spectrum access
O Naparstek, K Cohen - IEEE transactions on wireless …, 2018 - ieeexplore.ieee.org
We consider the problem of dynamic spectrum access for network utility maximization in
multichannel wireless networks. The shared bandwidth is divided into K orthogonal …
multichannel wireless networks. The shared bandwidth is divided into K orthogonal …
Analysis and interventions in large network games
F Parise, A Ozdaglar - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
We review classic results and recent progress on equilibrium analysis, dynamics, and
optimal interventions in network games with both continuous and discrete strategy sets. We …
optimal interventions in network games with both continuous and discrete strategy sets. We …
An operator splitting approach for distributed generalized Nash equilibria computation
In this paper, we propose a distributed algorithm for computation of a generalized Nash
equilibrium (GNE) in noncooperative games over networks. We consider games in which the …
equilibrium (GNE) in noncooperative games over networks. We consider games in which the …
[图书][B] Communication networks: An optimization, control and stochastic networks perspective
Provides a modern mathematical approach to the design of communication networks for
graduate students, blending control, optimization, and stochastic network theories. A broad …
graduate students, blending control, optimization, and stochastic network theories. A broad …
Distributed GNE seeking under partial-decision information over networks via a doubly-augmented operator splitting approach
L Pavel - IEEE Transactions on Automatic Control, 2019 - ieeexplore.ieee.org
We consider distributed computation of generalized Nash equilibrium (GNE) over networks,
in games with shared coupling constraints. Existing methods require that each player has …
in games with shared coupling constraints. Existing methods require that each player has …
Optimal synchronization control of multiagent systems with input saturation via off-policy reinforcement learning
In this paper, we aim to investigate the optimal synchronization problem for a group of
generic linear systems with input saturation. To seek the optimal controller, Hamilton-Jacobi …
generic linear systems with input saturation. To seek the optimal controller, Hamilton-Jacobi …
The role of population games and evolutionary dynamics in distributed control systems: The advantages of evolutionary game theory
N Quijano, C Ocampo-Martinez… - IEEE Control …, 2017 - ieeexplore.ieee.org
Recently, there has been an increasing interest in the control community in studying large-
scale distributed systems. Several techniques have been developed to address the main …
scale distributed systems. Several techniques have been developed to address the main …
On the convergence of no-regret learning dynamics in time-varying games
I Anagnostides, I Panageas… - Advances in Neural …, 2024 - proceedings.neurips.cc
Most of the literature on learning in games has focused on the restrictive setting where the
underlying repeated game does not change over time. Much less is known about the …
underlying repeated game does not change over time. Much less is known about the …
Power-traffic network equilibrium incorporating behavioral theory: A potential game perspective
This paper examines the interconnections between the power and transportation networks
from a game theoretic perspective. Electric vehicle travelers choose the lowest-cost routes in …
from a game theoretic perspective. Electric vehicle travelers choose the lowest-cost routes in …