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.

Bibliografski detalji
Glavni autor: Dutta, Amit
Daljnji autori: Alam, Md. Golam Rabiul
Format: Disertacija
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 pristup:http://hdl.handle.net/10361/23385

Internet

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

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