This paper proposed a novel policy-guided reinforcement learning (RL) method, namely, multiregulator-assisted RL for encirclement control (MRA-RLEC) which leverages the jump-start learning and curriculum learning (CL) mechanism to enhance training efficiency.

This study proposes a general multi-class hierarchical random network with an arbitrary number of agents and an arbitrary connecting success probability to analyze the minimum communication costs with the minimum consensus iterations in distributed multi-agent networks.

This paper presents a novel cooperative value iteration (VI)-based adaptive dynamic programming method for multi-player differential game models with a convergence proof.

A distributed multi-sensor control method is presented for multi-target tracking. The problem is formulated as auctioned partially observed Markov decision processes (auctioned POMDPs), which is a tractable approach to approximate the solutions in a distributed manner. 

This article applies age of information (AoI) to sensor selection for target tracking in the presence of random communication delays.

This paper deals with state estimation over distributed sensor networks with unknown process noise covariance matrix (PNCM) and measurement noise covariance matrices (MNCMs). 

This paper addresses state estimation of linear systems with special attention on unknown process and measurement noise covariances, aiming to enhance estimation accuracy while ensuring stability.

To solve the problem of missing measurements in highly manoeuvring target tracking, an expected-mode-augmentation-based unscented Kalman filter with missing measurements compensation (EMA-MMCUKF) is designed based on the variable-structure multiple model method.

The consensus tracking problem is investigated for multi-agent systems with directed graph. To avoid using any global information, a novel adaptive protocol is proposed based only on the relative state information.

In this paper, a distributed adaptive dynamic programming (ADP) framework based on value iteration is proposed for multi-player differential games.