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.

Библиографические подробности
Главный автор: Dutta, Amit
Другие авторы: Alam, Md. Golam Rabiul
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2024
Предметы:
Reinforced learning
Recurrent neural network (RNN)
OpenAiGym
Proximal policy optimization
Blockchain
Machine learning
Blockchains (Databases)
Computer security
Cryptocurrencies
Online-ссылка:http://hdl.handle.net/10361/23385

Internet

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

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