Preferential Proximal Policy Optimization

The Proximal Policy Optimization (PPO) is a policy gradient approach providing state-of-the-art performance in many domains through the "surrogate" objective function using stochastic gradient ascent. While PPO is an appealing approach in reinforcement learning, it does not consider the im...

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Bibliographic Details

Published in:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) pp. 293 - 300
Main Authors:	Balasuntharam, Tamilselvan, Davoudi, Heidar, Ebrahimi, Mehran
Format:	Conference Proceeding
Language:	English
Published:	IEEE 15.12.2023
Subjects:	Deep Learning Deep Reinforcement Learning Estimation Linear programming Machine Learning Machine learning algorithms Optimization Reinforcement learning Trajectory
ISSN:	1946-0759
Online Access:	Get full text
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