mlsanityData to 7 Oct 2026

UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance

arXiv 2302.10669 ↗First posted 21 Feb 2023cs.LG cs.AI cs.ROcited by 4

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Abstract (arXiv)

In this paper, we tackle the problem of Unmanned Aerial (UA V) path planning in complex and uncertain environments by designing a Model Predictive Control (MPC), based on a Long-Short-Term Memory (LSTM) network integrated into the Deep Deterministic Policy Gradient algorithm. In the proposed solution, LSTM-MPC operates as a deterministic policy within the DDPG network, and it leverages a predicting pool to store predicted future states and actions for improved robustness and efficiency. The use of the predicting pool also enables the initialization of the critic network, leading to improved convergence speed and reduced failure rate compared to traditional reinforcement learning and deep reinforcement learning methods. The effectiveness of the proposed solution is evaluated by numerical simulations.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 5 of its 27 references that are in the map. First posted on arXiv 21 Feb 2023.

Builds on

5 of 27 references.

References · 5

  1. 2018Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Networkcited by 415
  2. 2019Data-driven Economic NMPC using Reinforcement Learningcited by 55
  3. 2021MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storagecited by 7
  4. 2021MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehiclescited by 5
  5. 2019Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environmentscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2024Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replaycited by 4
  2. 2025Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learningcited by 2
  3. 2025MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigationcited by 2
  4. 2026Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Trainingcited by 0