Browsing by Subject "Proximal policy optimization"
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Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
(Brac University, 2023-01)This paper is intended to be a practical guide in terms of getting up and running with reinforcement learning. Ideally, it aims to bridge the gap between practi cal implementation and the theories available for RL. The ... -
ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network
(Brac University, 2023-07)Blockchain is a ground-breaking technology that has changed how we manage and store protected data. It is a decentralized ledger that enables safe, open, and unchangeable record-keeping. It relies on a distributed network ...