Comprehensive Review of Benefits from the Use of Neuron Connection Pruning Techniques During the Training Process of Artificial Neural Networks in Reinforcement Learning: Experimental Simulations in Atari Games-Reference-Cited by-同舟云学术

Comprehensive Review of Benefits from the Use of Neuron Connection Pruning Techniques During the Training Process of Artificial Neural Networks in Reinforcement Learning: Experimental Simulations in Atari Games

Published:2023-10-26 Issue: Volume: Page:
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Container-title:2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
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Author:

Kaloev Martin¹,Krastev Georgi¹

Affiliation:

1. University of Ruse,Department of Computer systems and technologies,Ruse,Bulgaria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10304839/10304842/10304968.pdf?arnumber=10304968

Reference11 articles.

1. Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Edge Computing

2. Software-Defined Heterogeneous Edge Computing Network Resource Scheduling Based on Reinforcement Learning

3. Cooperative Encirclement Strategy for Multiple Drones Based on ATT-MADDPG

4. Applying Artificial Neural Network Based on Backpropagation Method for Indonesian Sign Language Recognition

5. Development of a Counterfeit Vehicle License Plate Detection System by Using Deep Learning

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