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.

Detalles Bibliográficos
Autor Principal: Dutta, Amit
Outros autores: Alam, Md. Golam Rabiul
Formato: Thesis
Idioma:English
Publicado: Brac University 2024
Subjects:
Reinforced learning
Recurrent neural network (RNN)
OpenAiGym
Proximal policy optimization
Blockchain
Machine learning
Blockchains (Databases)
Computer security
Cryptocurrencies
Acceso en liña:http://hdl.handle.net/10361/23385

Internet

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

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