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Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture
Presenter
- Angela Schoellig
February 28, 2020
IPAM
Bregman proximal methods for semidefinite optimization
Presenter
- Lieven Vandenberghe
February 28, 2020
IPAM
Nonconvex optimization in matrix optimization and distributionally robust optimization
Presenter
- Stephen Wright
February 27, 2020
IPAM
Beyond Theory of Mind: Learning and Influencing Conventions in Multi-Agent Interactions
Presenter
- Dorsa Sadigh
February 27, 2020
IPAM
Can We Really Use Machine Learning in Safety Critical Systems?
Presenter
- Richard Murray
February 27, 2020
IPAM
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