• Suche: Python Reinforcement Learning

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141

ChainerRL: A Deep Reinforcement Learning Library.
Fujita, Yasuhiro ; Nagarajan, Prabhat ; Toshiki Kataoka ; et al.
Journal of Machine Learning Research. 2021, Vol. 22, p1-14. 14p.

OPEN source software REINFORCEMENT learning DEEP learning PYTHON programming langu... DRAWING techniques SOURCE code
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142

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!
Gu, Rong
EPTCS 411, 2024, pp. 160-177

Computer Science - Machi... Computer Science - Logic...
Report
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143

Reinforcement learning control strategy for differential pressure setpoint in large-scale multi-source looped district cooling system
Wang, Dan ; Gao, Cheng ; Sun, Yuying ; et al.
In Energy & Buildings 1 March 2023 282

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144

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145

Laboratory experiments of model-based reinforcement learning for adaptive optics control
Nousiainen, Jalo ; Engler, Byron ; Kasper, Markus ; et al.
Journal of Astronomical Telescopes, Instruments, and Systems, 2024, 10, ⟨10.1117/1.JATIS.10.1.019001⟩

high contrast imaging adaptive optics reinforcement learning system identification Astrophysics - Instrumen... Computer Science - Machi... …
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147

A comparative study of 13 deep reinforcement learning based energy management methods for a hybrid electric vehicle
Wang, Hanchen ; Ye, Yiming ; Zhang, Jiangfeng ; et al.
In Energy 1 March 2023 266

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148

AllReduce Scheduling with Hierarchical Deep Reinforcement Learning
Wei, Yufan ; Liu, Mickel ; Wu, Wenfei

Computer Science - Netwo... Computer Science - Distr...
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149

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150

Reinforcement Learning application for Energy Management of Microgrids
Application d'algorithmes d'apprentissage par renforcement pour la gestion de micro-réseaux électrique
Levent, Tanguy ; Laboratoire de Physique des Interfaces et des Couches Minces (LPICM) ; École polytechnique (X) ; et al.
Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAX091⟩

Artificial Intelligence Energy Management System Optimization Python Programming Reinforcement Learning Microgrid …
Dissertation
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151

AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning
Sivashangaran, Shathushan ; Khairnar, Apoorva ; Eskandarian, Azim
In IFAC PapersOnLine 2023 56(3):475-480

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152

Reinforcement Learning for Thermostatically Controlled Loads Control using Modelica and Python.
Oleh Lukianykhin ; Tetiana Bogodorova
CoRR. abs/2005.04444

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153

MPC4RL -- A Software Package for Reinforcement Learning based on Model Predictive Control
Reinhardt, Dirk ; Baumgärnter, Katrin ; Frey, Jonathan ; et al.

Electrical Engineering a...
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154

Farm-gym: A modular reinforcement learning platform for stochastic agronomic games
Maillard, Odalric-Ambrym ; Mathieu, Timothée ; Basu, Debabrota ; et al.
AIAFS 2023 - Artificial Intelligence for Agriculture and Food Systems, Feb 2023, Wahington DC, United States

Wahington DC, United Sta... Reinforcement Learning Simulator Agroecology [INFO.INFO-AI]Computer S... Artificial Intelligence...
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155

Q-learning agent-based level control of surge tanks for improved continuous manufacturing of monoclonal antibodies
Jesubalan, Naveen G ; Nikita, Saxena ; Banerjee, Shantanu ; et al.
In Computers and Chemical Engineering March 2026 206

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156

Efficient Multi-Agent Optimized Reinforcement Learning Algorithm-Based Task Scheduling in Fog-Cloud Environment.
Sarumathi, S. ; Vijayalakshmi, K.
IETE Journal of Research. Oct2025, p1-14. 14p. 14 Illustrations, 5 Charts.

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157

Exploring and Evaluating Interplays of BPpy with Deep Reinforcement Learning and Formal Methods
Yaacov, Tom ; Weiss, Gera ; Ashrov, Adiel ; et al.

Software Engineering
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158

Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system
Yi, Zonggen ; Luo, Yusheng ; Westover, Tyler ; et al.
In Applied Energy 15 December 2022 328

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159

Version v2.0.0 — Reinforced-lib: Rapid prototyping of reinforcement learning solutions
Maksymilian Wojnar
SoftwareX, Vol 32, Iss , Pp 102400- (2025)

Machine learning Reinforcement learning Neuroevolution JAX Computer software QA76.75-76.765
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160

An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
Coraci, Davide ; Brandi, Silvio ; Hong, Tianzhen ; et al.
Building Simulation. 17(5)

Civil Engineering Engineering Affordable and Clean Ene... transfer learning reinforcement learning building control …
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