Results 81 to 90 of about 6,304,901 (198)

Energy management strategy for hybrid electric vehicle based on improved PPO algorithm [PDF]

Journal of Hebei University of Science and Technology
In order to improve the economy of power-split hybrid electric vehicle (HEV),a longitudinal dynamics model of the entire HEV vehicle was established,and an energy management strategy (EMS) based on strategy entropy optimization with an improved proximal ...
Chao MA, Tong SUN, Lei CAO, Kun YANG, Wenjing HU   +4 more
doaj   +1 more source

Proximal Policy Optimization (PPO)

Extensions: Code_execution for VPG/TRPO sims. Overall confidence: 94%; reliable for historical elaboration. Abstract The Proximal Policy Optimization (PPO) algorithm is a family of policy gradient methods for reinforcement learning. It alternates between sampling data through interaction with the environment and optimizing a surrogate objective ...
openaire   +2 more sources

OID-PPO: Optimal Interior Design using Proximal Policy Optimization by Transforming Design Guidelines into Reward Functions

CoRR
Designing residential interiors strongly impacts occupant satisfaction but remains challenging due to unstructured spatial layouts, high computational demands, and reliance on expert knowledge. Existing methods based on optimization or deep learning are either computationally expensive or constrained by data scarcity.
Chanyoung Yoon, Sangbong Yoo, Soobin Yim, Chansoo Kim, Yun Jang   +4 more
openaire   +3 more sources

Proximal Policy Optimization - Ein umfassender Überblick

Diese Arbeit bietet einen umfassenden Überblick über die Proximal Policy Optimization mit dem Ziel, eine klare und vollständige Zusammenfassung ihres historischen Kontexts, ihres aktuellen Stands und ihrer Zukunftsaussichten zu liefern.
Fehringer, Georg
core   +2 more sources

Optimization of Predefined-Time Agent-Scheduling Strategy Based on PPO

Mathematics
In this paper, we introduce an agent rescue scheduling approach grounded in proximal policy optimization, coupled with a singularity-free predefined-time control strategy.
Dingding Qi, Yingjun Zhao, Longyue Li, Zhanxiao Jia   +3 more
doaj   +1 more source

Dynamic Obstacle Avoidance for Autonomous Undersea Vehicles via VO-PPO

水下无人系统学报
Efficient and safe dynamic obstacle avoidance is crucial for autonomous underwater vehicles(AUV) performing military missions. To address the high collision risk and slow convergence of conventional reinforcement learning-based approaches in AUV obstacle-
Tao ZHANG, Xiangguang ZENG, Min LI, Dijie XIE, Wenzhe REN, Bei PENG   +5 more
doaj   +1 more source

PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization

CoRR
Model inversion attacks pose a significant privacy risk by attempting to reconstruct private training data from trained models. Most of the existing methods either depend on gradient estimation or require white-box access to model parameters, which limits their applicability in practical scenarios.
openaire   +3 more sources

Dynamic threshold-enhanced diffusion PPO for multi-UAV collaborative optimization in wireless rechargeable sensor networks

Scientific Reports
To address the challenging problem of collaborative optimization of communication delay and UAV load balancing in multi-Unmanned Aerial Vehicle (UAV)-assisted wireless rechargeable sensor networks, a dynamic threshold-enhanced diffusion proximal policy ...
Yalin Nie, Zeyu Sun, Yang Zhang
doaj   +1 more source

Intelligent MPPT control for high-gain converter design to enhance PV energy system power extraction efficiency

Next Energy
The energy extraction efficiency of photovoltaic (PV) systems operating under dynamic environmental conditions is achieved via an effective converter design and Maximum Power Point Tracking (MPPT) algorithms driving it.
Aakansha Mercy Steele, Kishore Thakre, Prateek Nigam   +2 more
doaj   +1 more source

Research on Intelligent Path Planning and Management of X-Type Mecanum-Wheeled Mobile Robot Based on Improved Proximal Policy Optimization–Gated Recurrent Unit Model

Machines
To enhance the navigation efficiency and obstacle avoidance capability of omnidirectional mobile robots in unstructured and complex environments, this paper conducts research on intelligent path planning and management for X-type Mecanum-wheeled mobile ...
Ning An, Songlin Yang, Shihan Kong
doaj   +1 more source