bziebart Brian Ziebart
Predictive Inverse Optimal Control and Scaling It Up

faisal Aldo Faisal
Human versus Machine Learning of Nonlinear Optimal Control

brunskill Emma Brunskill
RL for People

silver David Silver
Deep Reinforcement Learning

neumann Gerhard Neumann
Learning Modular Control Policies

gomez Vicenç Gómez
Applications of Linearly-Solvable Optimal Control

tishby Naftali Tishby
On the Role of Information in Reinforcement Learning and Control

lee Daniel Lee
Noether and Bellman: Learning and Planning in High-Dimensional Continuous State Spaces

abbeel Pieter Abbeel
Learning Neural Network Policies for Robotic Manipulation with Guided Policy Search


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