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.

Bibliografiset tiedot
Päätekijä:	Dutta, Amit
Muut tekijät:	Alam, Md. Golam Rabiul
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Reinforced learning Recurrent neural network (RNN) OpenAiGym Proximal policy optimization Blockchain Machine learning Blockchains (Databases) Computer security Cryptocurrencies
Linkit:	http://hdl.handle.net/10361/23385

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