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241

Multifidelity Bayesian optimization for hyperparameter tuning of deep reinforcement learning algorithms
Eduardo C. Garrido-Merchán ; Martin Molina ; Gonzalo Martínez
Computing and Artificial Intelligence. 3:2923

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242

Indoor navigation for mobile robots based on deep reinforcement learning with convolutional neural network
Khoa Nguyen Dang ; Van Tran Thi ; Nguyen Van Thang
International Journal of Electrical and Computer Engineering (IJECE). 15:2748

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243

Dynamic Jobshop Scheduling Algorithm Based on Deep Q Network
Yejian Zhao ; Yanhong Wang ; Yuanyuan Tan ; et al.
IEEE Access, Vol 9, Pp 122995-123011 (2021)

Dynamic scheduling deep Q network deep reinforcement learn... dispatching rules job shop scheduling Electrical engineering.... …
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245

Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system.
Yi, Zonggen ; Luo, Yusheng ; Westover, Tyler ; et al.
Applied Energy. Dec2022, Vol. 328, pN.PAG-N.PAG. 1p.

REINFORCEMENT learning RENEWABLE energy sources POWER plants NUCLEAR power plants PARTICLE swarm optimizat... ENERGY storage …
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246

Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm
Rozanov, Nikolai

FOS: Computer and inform... Computer Science - Machi... Machine Learning (cs.LG)
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247

MAFSIDS: a reinforcement learning-based intrusion detection model for multi-agent feature selection networks
Kezhou Ren ; Yifan Zeng ; Yuanfu Zhong ; et al.
Journal of Big Data, Vol 10, Iss 1, Pp 1-30 (2023)

Computer engineering. Co... TK7885-7895 Information technology T58.5-58.64 Electronic computers. Co... QA75.5-76.95
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248

NEORL: NeuroEvolution Optimization with Reinforcement Learning—Applications to carbon-free energy systems.
Radaideh, Majdi I. ; Du, Katelin ; Seurin, Paul ; et al.
Nuclear Engineering & Design. Oct2023, Vol. 412, pN.PAG-N.PAG. 1p.

MASSACHUSETTS Institute... REINFORCEMENT learning NUCLEAR reactor control DEEP reinforcement learn... EVOLUTIONARY computation NUCLEAR fuels …
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249

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250

Reinforcement Learning aplicat a videojocs
Capel Ruiz, Martí ; Universitat Autònoma de Barcelona. Escola d'Enginyeria ; Casas Roma, Jordi

RL Agent PettingZoo Deep Reinforcement Learn... Avaluacio d'Agents Videojocs Evaluación de Agentes …
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252

Studies from Chongqing University Have Provided New Data on Energy and Buildings (A Rl-based Human Behavior Oriented Optimal Ventilation Strategy for Better Energy Efficiency and Indoor Air Quality).
Drug Week; 10/21/2025, p4541-4541, 1p

CHONGQING (China) CHINA ENERGY consumption INDOOR air quality ENGINEERING models REINFORCEMENT learning …
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253

Deep Reinforcement Learning-Based Control of Stewart Platform With Parametric Simulation in ROS and Gazebo
Yadavari, Hadi ; Aghaei, Vahid Tavakol ; Ikizoglu, Serhat
Journal of Mechanisms and Robotics. 15

Parallel Platforms 0209 industrial biotechn... Deep Learning Gazebo Control Stewart Platform …
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254

Reinforced-lib: Rapid prototyping of reinforcement learning solutions
Wojnar, Maksymilian ; Szott, Szymon ; Rusek, Krzysztof ; et al.
In SoftwareX May 2024 26

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255

Solving the vehicle rescheduling problem (VRSP) for railroad transport using the deep multi-agent reinforcement learning
Fernández López Areal, Mateo ; Dzikowski, Jacek ; Parras Moral, Juan
Archivo Digital UPM
Universidad Politécnica de Madrid

Machine Learning Telecomunicaciones Deep Learning Neural Networks Artificial Intelligence Flatland …
Dissertation
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256

StarCraft II: A New Challenge for Reinforcement Learning
Vinyals, Oriol ; Ewalds, Timo ; Bartunov, Sergey ; et al.

Computer Science - Learn... Computer Science - Artif...
Report
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257

Spin Dynamics, Pulsed Decoupling, and Deep Reinforcement Learning for Quantum Sensing
Oon, Jner Tzern

Deep Reinforcement Learn... Physics Nuclear Magnetic Resonan... Spin Dynamics Quantum physics Quantum Sensing
Dissertation
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258

A multi-channel and multi-user dynamic spectrum access algorithm based on deep reinforcement learning in Cognitive Vehicular Networks with sensing error.
Chen, Lingling ; Fu, Ke ; Zhao, Quanjun ; et al.
Physical Communication. Dec2022, Vol. 55, pN.PAG-N.PAG. 1p.

Dynamic spectrum access Reinforcement learning Cognitive learning Reward (Psychology) Occupancy rates Algorithms
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260

A Deep Reinforcement Learning Approach for Path Following on a Quadrotor
Rubí Perelló, Bartomeu ; Morcego Seix, Bernardo ; Pérez Magrané, Ramon
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

0301 basic medicine Learning (artificial int... 0209 industrial biotechn... Informàtica::Intel·ligèn... Àrees temàtiques de la U... Avions no tripulats …
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