Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject
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- Deep Learning for Renewable Energy 1
- Deep learning LSTM of solar energy prediction output 1
- deep learning networks 3
- deep learning. 1
- Deep Miller 1
- deep neural architectures and foundation models 1
- Deep neural network 3
- deep neural network 1
- deep neural network, 1
- deep Neural Networks 1
- deep neural networks 1
- deep out-of-the-money put option 1
- deep prior 1
- deep Q networks 1
- deep Q-learning 1
- Deep Reinforcement Learning 2
- Deep reinforcement learning 1
- deep Reinforcement Learning 1
- deep reinforcement learning 11
- deep reinforcement learning (DRL) 4