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Efficient autonomous exploration and map** in unknown environments
A Feng, Y ** in unknown environments is a critical capability for
robots. Existing exploration techniques (eg, heuristic-based and learning-based methods) …
robots. Existing exploration techniques (eg, heuristic-based and learning-based methods) …
SHANGUS: Deep Reinforcement Learning Meets Heuristic Optimization for Speedy Frontier-Based Exploration of Autonomous Vehicles in Unknown Spaces
S Nam, TA Nguyen, E Choi, D Min - arxiv preprint arxiv:2407.18892, 2024 - arxiv.org
This paper introduces SHANGUS, an advanced framework combining Deep Reinforcement
Learning (DRL) with heuristic optimization to improve frontier-based exploration efficiency in …
Learning (DRL) with heuristic optimization to improve frontier-based exploration efficiency in …
Optimizing Energy Consumption for IoT Adaptive Security: A Mobility-Based Solution
A Arab, M Mahamat, G Jaber… - … Conference on Advances …, 2024 - Springer
Abstract The Internet of Things (IoT) is transforming communication among devices. The
prevalent use of IoT in mobile scenarios introduces vulnerability to attacks, which requires …
prevalent use of IoT in mobile scenarios introduces vulnerability to attacks, which requires …
Improved Reinforcement Learning Based on Angle Search for Route Planning of the Hospital Inspection Robot
L Ding, C Zhang, H Guo - 2024 IEEE 18th International …, 2024 - ieeexplore.ieee.org
The inspection robot is applied to assist people in carrying out autonomous inspections and
reduce the pressure on hospital staff. This article, based on Q-learning, uses a heuristic …
reduce the pressure on hospital staff. This article, based on Q-learning, uses a heuristic …
Check for updates Optimizing Energy Consumption for IoT Adaptive Security: A Mobility-Based Solution
A Arab, MMDG Jaber… - Proceedings of the Second …, 2024 - books.google.com
The Internet of Things (IoT) is transforming communication among devices. The prevalent
use of IoT in mobile scenarios introduces vulnerability to attacks, which requires robust …
use of IoT in mobile scenarios introduces vulnerability to attacks, which requires robust …
An Improved Artificial Potential Field Method for Aircraft Path Planning Based on Deep Reinforcement Learning
S Tian, Y Du, L Wang - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
In order to address complex Three-dimensional (3D) obstacle environments, a novel aircraft
trajectory planning method is proposed, which combines deep reinforcement learning with …
trajectory planning method is proposed, which combines deep reinforcement learning with …
Autonomous Drone Control for Visual Search Based on Deep Reinforcement Learning
A Ćuk - Sinteza 2022-International Scientific …, 2022 - portal.sinteza.singidunum.ac.rs
Autonomous flight of drone using Deep Reinforcement Learning is an attractive area of
research in recent years that gives excellent results. Autonomous drone flight is defined …
research in recent years that gives excellent results. Autonomous drone flight is defined …
[PDF][PDF] Transfer Learning via Online System Identification CPSC 533V Project Report
D Ajisafe, C Fox, T Zhang - tianyuehz.github.io
Sim-to-real gap has been a challenging problem in most Reinforcement Learning (RL)
settings. And this is largely due to the fact that the majority of RL algorithms have been …
settings. And this is largely due to the fact that the majority of RL algorithms have been …