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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Podrobná bibliografia

Vydané v:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) s. 293 - 300
Hlavní autori:	Balasuntharam, Tamilselvan, Davoudi, Heidar, Ebrahimi, Mehran
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 15.12.2023
Predmet:	Deep Learning Deep Reinforcement Learning Estimation Linear programming Machine Learning Machine learning algorithms Optimization Reinforcement learning Trajectory
ISSN:	1946-0759
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