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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
Rollout, Policy Iteration, and Distributed Reinforcement Learning
Presenter
- Dimitri Bertsekas
February 24, 2020
IPAM
Convexity Exploiting Newton-Type Optimization for Learning and Control
Presenter
- Moritz Diehl
February 24, 2020
IPAM
Neural Circuit Modeling of Large-Scale Brain Dynamics for Computational Psychiatry
Presenter
- John Murray
February 21, 2020
IPAM