Machine Learning and High-Dimensional Data Analysis in Operations Research
, 3 pts, E6617Mchn lrning&Hgh-dmntnl da
Discusses recent advances in fields of machine learning: kernel methods, neural networks (various generative adversarial net architectures), and reinforcement learning (with applications in robotics). Quasi Monte Carlo methods in the context of approximating RBF kernels via orthogonal transforms (instances of the structured technique). Will discuss techniques such as TD(0), TD(λ), LSTDQ, LSPI, DQN.
Mchn lrning&Hgh-dmntnl da
Discusses recent advances in fields of machine learning: kernel methods, neural networks (various generative adversarial net architectures), and reinforcement learning (with applications in robotics). Quasi Monte Carlo methods in the context of approximating RBF kernels via orthogonal transforms (instances of the structured technique). Will discuss techniques such as TD(0), TD(λ), LSTDQ, LSPI, DQN.
- Section Number
- 001
- Call Number
- 14598
- Day, Time & Location
- M 7:10PM-9:40PM 524 Seeley W. Mudd Building
- Instructor
- Krzysztof M Choromanski