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.

Bibliografiska uppgifter
Huvudupphovsman:	Dutta, Amit
Övriga upphovsmän:	Alam, Md. Golam Rabiul
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	Reinforced learning Recurrent neural network (RNN) OpenAiGym Proximal policy optimization Blockchain Machine learning Blockchains (Databases) Computer security Cryptocurrencies
Länkar:	http://hdl.handle.net/10361/23385

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