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Found 8 papers, 1 papers with code
Utilizing Load Shifting for Optimal Compressor Sequencing in Industrial Refrigeration
The ubiquity and energy needs of industrial refrigeration has prompted several research studies investigating various control opportunities for reducing energy demand.
A Stochastic Surveillance Stackelberg Game: Co-Optimizing Defense Placement and Patrol Strategy
Stochastic patrol routing is known to be advantageous in adversarial settings; however, the optimal choice of stochastic routing strategy is dependent on a model of the adversary.
Trajectories for the Optimal Collection of Information
A traditional method of lines (MOL) approach, based on a spatial grid, lends itself well to the highly non-linear and non-convex structure of the problem induced by the FIM matrix.
Optimal Design of Best Response Dynamics in Resource Allocation Games
However, much of the emphasis of the game-theoretic approach is on the study of equilibrium behavior, whereas transient behavior is often less explored.
Balancing Asymptotic and Transient Efficiency Guarantees in Set Covering Games
Game theoretic approaches have gained traction as robust methodologies for designing distributed local algorithms that induce a desired overall system configuration in multi-agent settings.
The Division of Assets in Multiagent Systems: A Case Study in Team Blotto Games
The focus of this paper is on problem (i), where we seek to characterize the impact of the division of resources on the best-case efficiency of the resulting collective behavior.
Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via Best Response
With this knowledge we propose a class of perturbed SBRD with the following property: only policies with maximum metric are observed with nonzero probability for a broad class of stochastic games with finite memory.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price of Anarchy
Unfortunately, several important classes of problems do not satisfy this requirement (e. g., taxation in congestion games), and our first result demonstrates that the smoothness framework does *not* tightly characterize the PoA for such settings.
Computer Science and Game Theory Multiagent Systems Systems and Control Systems and Control
