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.

Dades bibliogràfiques
Autor principal: Dutta, Amit
Altres autors: Alam, Md. Golam Rabiul
Format: Thesis
Idioma:English
Publicat: Brac University 2024
Matèries:
Reinforced learning
Recurrent neural network (RNN)
OpenAiGym
Proximal policy optimization
Blockchain
Machine learning
Blockchains (Databases)
Computer security
Cryptocurrencies
Accés en línia:http://hdl.handle.net/10361/23385

Internet

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

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