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Double critics and double actors deep deterministic policy gradient for mobile robot navigation using adaptive parameter space noise and parallel experience replay
In recent years, mobile robots have been increasingly used in a variety of industries, such as
manufacturing, logistics, health care, and security services. Effective autonomous navigation …
manufacturing, logistics, health care, and security services. Effective autonomous navigation …
A modified dueling DQN algorithm for robot path planning incorporating priority experience replay and artificial potential fields
C Li, X Yue, Z Liu, G Ma, H Zhang, Y Zhou, J Zhu - Applied Intelligence, 2025 - Springer
For the challenges of low learning efficiency, slow convergence speed and slow inference
speed in robot path planning. This paper proposes an improved deep reinforcement …
speed in robot path planning. This paper proposes an improved deep reinforcement …
Optimized Autonomous Drone Navigation Using Double Deep Q-Learning for Enhanced Real-Time 3D Image Capture
The proposed system assists in the automatic creation of three-dimensional (3D) meshes for
all types of objects, buildings, or scenarios, using drones with monocular RGB cameras. All …
all types of objects, buildings, or scenarios, using drones with monocular RGB cameras. All …
Simulation Analysis of Multi-Objective Functions in Mobile Robot Navigation Based on Enhanced Deep Q-Network Algorithm
V Arumugam, V Alagumalai, S Rajendran - 2024 - sae.org
Q-network (DQN) algorithm is enhanced through integration with the enhanced deep Q-
network (EDQN) for mobile robot (MR) navigation in specific scenarios. This approach …
network (EDQN) for mobile robot (MR) navigation in specific scenarios. This approach …