Transfer reinforcement learning for multi‐agent pursuit‐evasion differential game with obstacles in a continuous environment

P Hu, Q Pan, C Zhao, Y Guo - Asian Journal of Control, 2024 - Wiley Online Library
In this paper, we study the multi‐pursuer single‐evader pursuit‐evasion (MSPE) differential
game in a continuous environment with the consideration of obstacles. We propose a novel …

A Novel Method for a Pursuit–Evasion Game Based on Fuzzy Q-Learning and Model-Predictive Control

P Hu, C Zhao, Q Pan - Drones, 2024 - search.proquest.com
This paper explores a pursuit–evasion game (PEG) based on quadrotors by combining
fuzzy Q-learning (FQL) and model-predictive control (MPC) algorithms. Initially, the FQL …

Pursuit-Evasion Games for Multi-agent Based on Reinforcement Learning with Obstacles

P Hu, Y Guo, J Hu, Q Pan - International Conference on Autonomous …, 2022 - Springer
Considering the problem of external interference and obstacle avoidance in multi-agent
pursuit-evasion games, the deep deterministic policy gradient algorithm is used to train …

Pursuit-Evasion Game Based on Fuzzy Actor-Critic Learning with Obstacle in Continuous Environment

P Hu, Q Pan, Z Tan - 2023 China Automation Congress (CAC), 2023 - ieeexplore.ieee.org
This paper employs the fuzzy actor-critic learning (FACL) and the Kalman filter (KF) to tackle
the pursuit-evasion game (PEG) within a continuous environment, considering a scenario …

Threat-Aware Selection for Target Engagement

D Biediger, AT Becker - 2022 IEEE 18th International …, 2022 - ieeexplore.ieee.org
This paper investigates the scheduling problem related to engaging a swarm of attacking
drones with a single defensive turret. The defending turret must turn, with a limited slew rate …