This study examines the decision-making optimization of Power-Generation Enterprises
(PGEs) in the green certificate market, with a focus on balancing bidding strategies and …

This article proposes new inverse reinforcement learning (RL) algorithms to solve our
defined Adversarial Apprentice Games for nonlinear learner and expert systems. The games …

A new transformation that converts a Bayesian game to a so-called ex-ante agent game (a
normal-form game) is proposed. Differently from the existing transformation proposed by R …

We introduce a strategy matrix, a novel concept for ensuring controllability in game-based
control systems (GBCSs). This graph-based condition is presented as an alternative to …

In this paper, we consider a continuous-type Bayesian Nash equilibrium (BNE) seeking
problem in subnetwork zero-sum games, which is a generalization of either deterministic …

This paper investigates a differential graphical game problem for fixed communication
topology networks, where simultaneous mutual Cooperative–Competitive (CC) effects exist …

This paper considers a network of agents, where each agent is assumed to take actions
optimally with respect to a predefined payoff function involving the latest actions of the …

Dynamic Heterogeneous Redundancy (DHR) has been considered as a proactive defense
architecture against unknown vulnerabilities and backdoors. It is a heterogeneous, fault …

This paper studies the differential graphical games for linear multi‐agent systems with
modelling uncertainties. A robust optimal control policy that seeks the distributed Nash …

When realizing multiagent optimal consensus control, it may encounter the situation that
malicious agents transmit false information. Besides, due to the unreliability of information …