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.

書誌詳細
第一著者:	Dutta, Amit
その他の著者:	Alam, Md. Golam Rabiul
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	Reinforced learning Recurrent neural network (RNN) OpenAiGym Proximal policy optimization Blockchain Machine learning Blockchains (Databases) Computer security Cryptocurrencies
オンライン･アクセス:	http://hdl.handle.net/10361/23385

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