Výsledky vyhledávání - "PPO algorithm"
-
1
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
Přístupová URL adresa: https://doaj.org/article/07fd5ad5932e4c72afbc0653c696dba3
-
2
Autoři:
Zdroj: Systems, Vol 13, Iss 10, p 884 (2025)
Témata: railway transportation, dynamic scheduling for high-speed railways, LSTM-PPO algorithm, blizzard conditions, delay propagation, multi-objective optimization, Systems engineering, TA168, Technology (General), T1-995
Popis souboru: electronic resource
Přístupová URL adresa: https://doaj.org/article/e7bb462b83a6449f8aacd7ab2407f146
-
3
Autoři: a další
Zdroj: IEEE Access, Vol 12, Pp 36825-36840 (2024)
Témata: 0209 industrial biotechnology, multi-objective optimization, PPO algorithm, traffic light intersection control, 0502 economics and business, 05 social sciences, 11. Sustainability, intelligent traffic system, optimal speed planning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Connected autonomous vehicles, TK1-9971
Přístupová URL adresa: https://doaj.org/article/555e3247d21b4757a2d8dd6aaa19b318
-
4
Autoři: 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
-
5
Autoři: a další
Zdroj: IEEE Access, Vol 11, Pp 129623-129639 (2023)
Témata: reinforcement learning, Dynamic weapon target assignment, PPO algorithm, simulation model, heuristic algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Přístupová URL adresa: https://doaj.org/article/6f2327ac2b284ef6941af86059d9bed1
-
6
Autoři:
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
Přístupová URL adresa: https://doaj.org/article/72b2addbcf6d41f7bb907b6dd0f5c066
-
7
Autoři: a další
Zdroj: Mohseni, S-R, Jahanshahi Zeitouni, M, Parvaresh, A, Abrazeh, S, Gheisarnejad Chirani, M & Khooban, M H 2023, 'FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings : Digital-twins technology', Transactions of the Institute of Measurement and Control, vol. 45, no. 4, pp. 661-673. https://doi.org/10.1177/01423312221119635
Témata: HVAC system, 0209 industrial biotechnology, hardware-in-loop, PPO algorithm, digital twin (DT), nonsingular terminal sliding-mode controller, 02 engineering and technology, 7. Clean energy
-
8
Autoři:
Zdroj: Mathematics, Vol 13, Iss 1, p 132 (2024)
Témata: voltage source converters, frequency control, worst-case PPO algorithm, worst attacks, smart grids, Mathematics, QA1-939
Popis souboru: electronic resource
Přístupová URL adresa: https://doaj.org/article/5fad337236eb433ba43d2e3ee9c478de
-
9
Autoři: a další
Zdroj: Systems, Vol 12, Iss 2, p 38 (2024)
Témata: digital twin, smart manufacturing, deep reinforcement learning, twin delayed DDPG algorithm, PPO algorithm, manufacturing process optimization, Systems engineering, TA168, Technology (General), T1-995
Relation: https://www.mdpi.com/2079-8954/12/2/38; https://doaj.org/toc/2079-8954; https://doaj.org/article/31ca2694304146da8950366ddfa5075f
-
10
Autoři:
Zdroj: Applied Sciences, Vol 14, Iss 7, p 2889 (2024)
Témata: autonomous vehicle, deep reinforcement learning, optimized PPO algorithm, unsignalized roundabout, gap acceptance theory, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Relation: https://www.mdpi.com/2076-3417/14/7/2889; https://doaj.org/toc/2076-3417; https://doaj.org/article/3147b64605354ccd9cc86e06039bdec7
-
11
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
Přístupová URL adresa: https://doaj.org/article/22f2c935e57f49398574375d69fc4704
-
12
Autoři:
Zdroj: Applied Sciences, Vol 13, Iss 4, p 2071 (2023)
Témata: mobile devices, futsal, digital game, hyper-casual, machine learning, PPO algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Relation: https://www.mdpi.com/2076-3417/13/4/2071; https://doaj.org/toc/2076-3417; https://doaj.org/article/c3ff2cae55944be89dbef9fe393c9682
-
13
Autoři: a další
Zdroj: Hangkong gongcheng jinzhan, Vol 13, Iss 6, Pp 40-49,96 (2022)
Témata: multi-uav, deep learning, deep reinforcement learning, ppo algorithm, generalization, cooperative combat, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Popis souboru: electronic resource
Relation: http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2022017?st=article_issue; https://doaj.org/toc/1674-8190
Přístupová URL adresa: https://doaj.org/article/29999897dae141a18b53245a57d017e5
-
14
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
-
15
-
16
Autoři:
Přispěvatelé:
Témata: Podržano učenje, machine learning, Unity, PPO algorithm, deep neural networks, TECHNICAL SCIENCES. Computing, TEHNIČKE ZNANOSTI. Računarstvo, Reinforcement learning, ML-Agents Toolkit, PPO algoritam, duboke neuronske mreže, strojno učenje
Popis souboru: application/pdf
-
17
Autoři:
Přispěvatelé:
Témata: posilované učenie, evolučné výpočty, evolučné posilované učenie, evolučný dizajn hodnotiaceho signálu, DQN algoritmus, PPO algoritmus, CartPole úloha, generalizácia, reinforcement learning, evolutionary computation, reward shaping, evolutionary reward design, DQN algorithm, PPO algorithm, CartPole task, generalization
Popis souboru: application/pdf; text/html
Relation: GULČÍKOVÁ, S. Evoluční algoritmy v posilovaném učení [online]. Brno: Vysoké učení technické v Brně. Fakulta informačních technologií. 2025.; 165202; https://hdl.handle.net/11012/255136
Dostupnost: https://hdl.handle.net/11012/255136
-
18
Autoři:
Přispěvatelé:
Témata: 004(043.3), Aprendizaje por refuerzo, Algoritmo PPO, Red neuronal de convoluci´on, Ray RLlib, Entornos Gym, TPU Google Coral, Aceleradores hardware, Reinforcement learning, PPO algorithm, Convolutional neural network, Gym environ- ments, Google Coral TPU, Hardware accelerators, Informática (Informática), 1203.17 Informática
Popis souboru: application/pdf
Dostupnost: https://hdl.handle.net/20.500.14352/10496
-
19
Autoři: a další
Přispěvatelé: a další
Zdroj: E-Prints Complutense. Archivo Institucional de la UCM
instname
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Docta ComplutenseTémata: Informática, Informática (Informática), Entornos Gym, Ray RLlib, Convolutional neural network, Red neuronal de convoluci´on, Google Coral TPU, TPU Google Coral, PPO algorithm, Aprendizaje por refuerzo, Algoritmo PPO, Reinforcement learning, Hardware accelerators, 1203.17 Informática, 004(043.3), Aceleradores hardware, Gym environ- ments
Popis souboru: application/pdf
Přístupová URL adresa: https://hdl.handle.net/20.500.14352/10496
-
20
Autoři:
Přispěvatelé:
Témata: Podržano učenje, ML-Agents Toolkit, strojno učenje, PPO algoritam, duboke neuronske mreže, Unity, Reinforcement learning, machine learning, PPO algorithm, deep neural networks, TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing
Popis souboru: application/pdf
Relation: https://zir.nsk.hr/islandora/object/fer:11013; https://urn.nsk.hr/urn:nbn:hr:168:774527; https://repozitorij.unizg.hr/islandora/object/fer:11013; https://repozitorij.unizg.hr/islandora/object/fer:11013/datastream/PDF
Nájsť tento článok vo Web of Science
Full Text Finder