activity
20142026
most citedCombining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

313 citations · 498 across the 41 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.RO2018

HG-DAgger: Interactive Imitation Learning with Human Experts

Michael Kelly, Chelsea Sidrane, Katherine Driggs-Campbell +1

Imitation learning has proven to be useful for many real-world problems, but approaches such as behavioral cloning suffer from data mismatch and compounding error issues. One attem…

cs.LG2018

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning

Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer

While imitation learning is often used in robotics, the approach frequently suffers from data mismatch and compounding errors. DAgger is an iterative algorithm that addresses these…