Energy storage is one of the key means for improving the flexibility, economy and security of
power system. It is also important in promoting new energy consumption and the energy …

Reinforcement learning (RL) has roots in dynamic programming and it is called
adaptive/approximate dynamic programming (ADP) within the control community. This paper …

In this article, through adaptive critic, a dual event-triggered (DET) constrained control
scheme is established for discrete-time nonlinear zero-sum games. The neural networks are …

Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

This paper investigates the automatic exploration problem under the unknown environment,
which is the key point of applying the robotic system to some social tasks. The solution to this …

To improve the effective planning of electricity-gas integrated energy systems (EGIES)
among various stakeholders with distinct interests, a multi-agent game based joint long-term …

Existing smart grid security research investigates different attack techniques and cascading
failures from the attackers' viewpoints, while the defenders' or the operators' protection …

Real-time strategy games have been an important field of game artificial intelligence in
recent years. This paper presents a reinforcement learning and curriculum transfer learning …

In order to address zero-sum game problems for discrete-time (DT) nonlinear systems, this
article develops a novel event-triggered control (ETC) approach based on the deterministic …

Event-triggered control has been an effective tool in dealing with problems with finite
communication and computation resources. In this paper, we design an event-triggered …