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.

Bibliografske podrobnosti
Glavni avtor:	Dutta, Amit
Drugi avtorji:	Alam, Md. Golam Rabiul
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2024
Teme:	Reinforced learning Recurrent neural network (RNN) OpenAiGym Proximal policy optimization Blockchain Machine learning Blockchains (Databases) Computer security Cryptocurrencies
Online dostop:	http://hdl.handle.net/10361/23385

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