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Learning-based Model Predictive Control - Towards Safe Learning in Control
Presenter
- Melanie Zeilinger
February 26, 2020
IPAM
Integrating optimization, constraints, and control within deep learning models
Presenter
- Zico Kolter
February 26, 2020
IPAM
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Safe and Efficient Exploration in Reinforcement Learning
Presenter
- Andreas Krause
February 26, 2020
IPAM
Learning Intended Costs: Extracting all the right information from all the right places
Presenter
- Anca Dragan
February 25, 2020
IPAM
Curbing Our Enthusiasm: Constraining Decision Policies Learned from the Past to Ensure Good Futures
Presenter
- Emma Brunskill
February 25, 2020
IPAM
From pixels to torques: output feedback for robotics
Presenter
- Russell Tedrake
February 25, 2020
IPAM
On the statistical complexity of reinforcement learning
Presenter
- Mengdi Wang
February 24, 2020
IPAM
A fresh look at some classical system identification methods
Presenter
- Necmiye Ozay
February 24, 2020
IPAM