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.

Dettagli Bibliografici
Autore principale:	Dutta, Amit
Altri autori:	Alam, Md. Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Reinforced learning Recurrent neural network (RNN) OpenAiGym Proximal policy optimization Blockchain Machine learning Blockchains (Databases) Computer security Cryptocurrencies
Accesso online:	http://hdl.handle.net/10361/23385

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