3 papers
cs.RO2021
Optimal Cost Design for Model Predictive Control
Avik Jain, Lawrence Chan, Daniel S. Brown +1
Many robotics domains use some form of nonconvex model predictive control (MPC) for planning, which sets a reduced time horizon, performs trajectory optimization, and replans at ev…
cs.LG2020
Accounting for Human Learning when Inferring Human Preferences
Harry Giles, Lawrence Chan
Inverse reinforcement learning (IRL) is a common technique for inferring human preferences from data. Standard IRL techniques tend to assume that the human demonstrator is stationa…
cs.LG2019
The Assistive Multi-Armed Bandit
Lawrence Chan, Dylan Hadfield-Menell, Siddhartha Srinivasa +1
Learning preferences implicit in the choices humans make is a well studied problem in both economics and computer science. However, most work makes the assumption that humans are a…