ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network

ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2023.

Podrobná bibliografie
Hlavní autor: Dutta, Amit
Další autoři: Alam, Md. Golam Rabiul
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2024
Témata:
Reinforced learning
Recurrent neural network (RNN)
OpenAiGym
Proximal policy optimization
Blockchain
Machine learning
Blockchains (Databases)
Computer security
Cryptocurrencies
On-line přístup:http://hdl.handle.net/10361/23385

Internet

http://hdl.handle.net/10361/23385

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