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.

Bibliografiske detaljer
Hovedforfatter: Dutta, Amit
Andre forfattere: Alam, Md. Golam Rabiul
Format: Thesis
Sprog:English
Udgivet: Brac University 2024
Fag:
Reinforced learning
Recurrent neural network (RNN)
OpenAiGym
Proximal policy optimization
Blockchain
Machine learning
Blockchains (Databases)
Computer security
Cryptocurrencies
Online adgang:http://hdl.handle.net/10361/23385

Internet

http://hdl.handle.net/10361/23385

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