Search Results - "Twin Delayed Deep Deterministic policy gradient algorithm"

Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm

Authors: Qian Shi Hak-Keung Lam Chengbin Xuan et al.

Source: Neurocomputing. 402:183-194

Subject Terms: Cart-pole system, Fuzzy PID controller, Reinforcement learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Twin delayed deep deterministic policy gradient algorithm, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/ijon/ijon402.html#ShiLXC20
https://www.sciencedirect.com/science/article/pii/S0925231220304367

Research on the Dynamic Characteristics Analysis and Power Control Method of Heat Pipe Reactors

Authors: Shaoxuan Yin Ren Yu Dongjie Sheng et al.

Source: Applied Sciences, Vol 13, Iss 11284, p 11284 (2023)

Subject Terms: heat pipe reactor, thermal resistance network, dynamic characteristic, nuclear power control, twin delayed deep deterministic policy gradient 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/2076-3417/13/20/11284; https://doaj.org/toc/2076-3417; https://doaj.org/article/c355602720a04e3cbe14a7d60eba4450

Availability: https://doi.org/10.3390/app132011284
https://doaj.org/article/c355602720a04e3cbe14a7d60eba4450

Adaptive Active Disturbance Rejection Load Frequency Control for Power System with Renewable Energies Using the Lyapunov Reward-Based Twin Delayed Deep Deterministic Policy Gradient Algorithm

Authors: Yuemin Zheng Jin Tao Qinglin Sun et al.

Source: Sustainability, Vol 15, Iss 14452, p 14452 (2023)

Subject Terms: load frequency control, Lyapunov reward, twin delayed deep deterministic policy gradient algorithm, linear active disturbance rejection control, renewable energy sources, Environmental effects of industries and plants, TD194-195, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/15/19/14452; https://doaj.org/toc/2071-1050; https://doaj.org/article/5ffe425188144926ab9de61515e9b0ce

Availability: https://doi.org/10.3390/su151914452
https://doaj.org/article/5ffe425188144926ab9de61515e9b0ce

Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System

Authors: Shuchang Liu Zhong Yang Zhao Zhang et al.

Source: Aerospace, Vol 9, Iss 555, p 555 (2022)

Subject Terms: aircraft anti-skid braking system, actuator faults, reconfiguration control, linear active-disturbance rejection control, deep reinforcement learning, twin delayed deep deterministic policy gradient algorithm, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Relation: https://www.mdpi.com/2226-4310/9/10/555; https://doaj.org/toc/2226-4310; https://doaj.org/article/317b48e40ab44d1c9a453d4bdecfd39e

Availability: https://doi.org/10.3390/aerospace9100555
https://doaj.org/article/317b48e40ab44d1c9a453d4bdecfd39e

Temperature Control of Proton Exchange Membrane Fuel Cell Based on Machine Learning

Authors: Jiawen Li Yaping Li Tao Yu

Source: Frontiers in Energy Research, Vol 9 (2021)

Subject Terms: proton exchange membrane fuel cell, twin delayed deep deterministic policy gradient algorithm, stack temperature, PID controller, robustness, General Works

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2021.763099/full; https://doaj.org/toc/2296-598X

Access URL: https://doaj.org/article/55f51d9b0c7841d392cff96f509377a2

Hluboké posilované učení pro hru Super Mario Bros ; Deep Reinforcement Learning for Super Mario Bros

Authors: Ondřej Schejbal Vašata Daniel Novák Petr

Contributors: Ondřej Schejbal Vašata Daniel Novák Petr

Subject Terms: Hluboké posilované učení, Deep Q-learning, Asynchronous Advantage Actor-Critic, Twin Delayed Deep Deterministic policy gradient algorithm, AI agent, OpenAI Gym, Super Mario Bros, Deep Reinforcement Learning

File Description: application/pdf

Relation: http://hdl.handle.net/10467/101068

Availability: http://hdl.handle.net/10467/101068