A Three-Dimensional Pursuit-Evasion Game Based on Fuzzy Actor-Critic Learning Algorithm

2025-03-11 · Penglin Hu

Most of the existing research on pursuit-evasion game (PEG) is conducted in a two-dimensional (2D) environment. In this paper, we investigate the PEG in a 3D space. We extend the Apollonius circle (AC) to the 3D space and introduce its detailed analytical form. To enhance the capture efficiency, we derive the optimal motion space for both the pursuer and the evader. To address the issue arising from a discrete state space, we design a fuzzy actor-critic learning (FACL) algorithm to obtain the agents' strategies. To improve learning performance, we devise a reward function for the agents, which enables obstacle avoidance functionality. The effectiveness of the proposed algorithm is validated through simulation experiments.

📄 PDF Abstract BibTeX arXiv:2503.08013

Code (0)

등록된 구현이 없습니다.

A Novel Multi-Objective Reinforcement Learning Algorithm for Pursuit-Evasion Game

2025-03-09 · Penglin Hu, Chunhui Zhao, Quan Pan

In practical application, the pursuit-evasion game (PEG) often involves multiple complex and conflicting objectives. The single-objective reinforcement learning (RL) usually focuses on a single optimization objective, an…

Multi-Objective Reinforcement Learning Q-Learning Reinforcement Learning (RL)

Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning

2024-11-05 · Yang Zhao, Zidong Nie, Kangsheng Dong, Qinghua Huang 외

The application of intelligent decision-making in unmanned aerial vehicle (UAV) is increasing, and with the development of UAV 1v1 pursuit-evasion game, multi-UAV cooperative game has emerged as a new challenge. This pap…

Decision Making Deep Reinforcement Learning reinforcement-learning Reinforcement Learning

A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn

2021-04-03 · Hao Xiong, Huanhui Cao, Lin Zhang, Wenjie Lu

Pursuit-evasion games are ubiquitous in nature and in an artificial world. In nature, pursuer(s) and evader(s) are intelligent agents that can learn from experience, and dynamics (i.e., Newtonian or Lagrangian) is vital …

reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Adversary agent reinforcement learning for pursuit-evasion

2021-08-25 · X. Huang

A reinforcement learning environment with adversary agents is proposed in this work for pursuit-evasion game in the presence of fog of war, which is of both scientific significance and practical importance in aerospace a…

reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)Starcraft

Bounded-Rational Pursuit-Evasion Games

2020-03-16

We present a framework that incorporates the idea of bounded rationality into dynamic stochastic pursuit-evasion games. The solution of a stochastic game is characterized, in general, by its (Nash) equilibria in feedback…