Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration

Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration

Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. The Deep Deterministic Policy Gradient (DDPG) is an RL technique focused on mobile robot navigation. RL algorithms must balan...

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Bibliographic Details
Main Authors: Shripad V. Deshpande, Harikrishnan R, Babul Salam KSM Kader Ibrahim, Mahesh Datta Sai Ponnuru
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2024-01-01
Series:Cognitive Robotics
Subjects:
Reinforcement learning
Mobile robot system
Differential gaming
Deep deterministic policy gradient
Epsilon greedy
Actor-critic
Online Access:http://www.sciencedirect.com/science/article/pii/S2667241324000119
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