mlsanityData to 14 Oct 2026

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

arXiv 2503.08013 ↗First posted 11 Mar 2025eess.SY cs.SYcited by 0

On the map: Deep reinforcement learning methods → RL for robot navigation and UAV control

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in RL for robot navigation and UAV control, one of 15 directions in Deep reinforcement learning methods. Builds on 4 of its 16 references that are in the map. First posted on arXiv 11 Mar 2025.

Builds on

4 of 16 references.

References · 4

  1. 2020An Introduction to Pursuit-evasion Differential Gamescited by 9
  2. 2019Multiple Pursuer Multiple Evader Differential Gamescited by 5
  3. 2021Defending a Perimeter from a Ground Intruder Using an Aerial Defender: Theory and Practicecited by 5
  4. 2021The Pursuit and Evasion of Drones Attacking an Automated Turretcited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025A Novel Multi-Objective Reinforcement Learning Algorithm for Pursuit-Evasion Game ↗
  2. 2025Evader-Agnostic Team-Based Pursuit Strategies in Partially-Observable Environments
  3. 2024Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning
  4. 2024Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
  5. 2025R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
  6. 2025Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games
  7. 2024Multi-Robot Pursuit in Parameterized Formation via Imitation Learning
  8. 2025Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game