Výsledky vyhledávání - "proximal policy optimization(ppo) algorithm"

Aerial Combat Maneuver Decision Method for Unmanned Aerial Vehicles Based on Deep Reinforcement Learning

Autoři: ZHANG Xiangrui, TAN Tai, LI Hui, ZHANG Jianwei, LI Bowen

Zdroj: Jisuanji gongcheng, Vol 51, Iss 12, Pp 324-336 (2025)

Témata: unmanned aerial vehicle (uav), proximal policy optimization (ppo) algorithm, six degrees of freedom, dual reward (dr), hierarchical framework, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20251230.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/07fd5ad5932e4c72afbc0653c696dba3

A low-carbon optimization scheduling method of CIES based on PPO algorithm

Autoři: CHEN Fan WU Lingxiao WANG Man a další

Zdroj: 电力工程技术, Vol 43, Iss 6, Pp 88-99 (2024)

Témata: community integrated energy system (cies), optimize scheduling, proximal policy optimization (ppo) algorithm, ladder-type carbon trading mechanism, penalty coefficient, carbon emission, Applications of electric power, TK4001-4102

Popis souboru: electronic resource

Relation: https://www.epet-info.com/dlgcjsen/article/abstract/240411338; https://doaj.org/toc/2096-3203

Přístupová URL adresa: https://doaj.org/article/eacfd2ea293a488a8d59af10035bf26a

Adaptive Algorithm for Selecting the Optimal Trading Strategy Based on Reinforcement Learning for Managing a Hedge Fund

Autoři: B. Belyakov D. Sizykh

Zdroj: IEEE Access, Vol 12, Pp 189047-189063 (2024)

Témata: Algorithmic trading, artificial intelligence, deep reinforcement learning, hedge fund management, optimal trading strategy, proximal policy optimization (PPO) algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10792442/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/72b2addbcf6d41f7bb907b6dd0f5c066

Local Path Planning of Robot Based on Improved PPO Algorithm

Autoři: LIU Guoming, LI Caihong, LI Yongdi, ZHANG Guosheng, ZHANG Yaoyu, GAO Tengteng

Zdroj: Jisuanji gongcheng, Vol 49, Iss 2, Pp 119-126,135 (2023)

Témata: robot, local path planning, long short-term memory(lstm) neural network, proximal policy optimization(ppo) algorithm, virtual target point, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20230215.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/22f2c935e57f49398574375d69fc4704

Active flow control in simulations of fluid flows based on deep reinforcement learning

Autoři: Darshan Thummar

Témata: Active flow control, Flow around 2D cylinder, open-loop and closed-loop control, Deep reinforcement learning, Proximal policy optimization (PPO) algorithm

Relation: https://zenodo.org/records/4897961; oai:zenodo.org:4897961; https://doi.org/10.5281/zenodo.4897961

Dostupnost: https://doi.org/10.5281/zenodo.4897961
https://zenodo.org/records/4897961

Active flow control in simulations of fluid flows based on deep reinforcement learning

Autoři: Thummar, Darshan

Témata: Deep reinforcement learning, open-loop and closed-loop control, Flow around 2D cylinder, Active flow control, Proximal policy optimization (PPO) algorithm