8 citations · 10 across the 3 of their papers we have counts for
5 papers
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
Yilun Chen, Praveen Palanisamy, Priyantha Mudalige +2
A safe and robust on-road navigation system is a crucial component of achieving fully automated vehicles. NVIDIA recently proposed an End-to-End algorithm that can directly learn s…
Model Learning for Look-ahead Exploration in Continuous Control
Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
We propose an exploration method that incorporates look-ahead search over basic learnt skills and their dynamics, and use it for reinforcement learning (RL) of manipulation policie…
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling +1
We explore the problem of learning to decompose spatial tasks into segments, as exemplified by the problem of a painting robot covering a large object. Inspired by the ability of c…
Social Attention: Modeling Attention in Human Crowds
Anirudh Vemula, Katharina Muelling, Jean Oh
Robots that navigate through human crowds need to be able to plan safe, efficient, and human predictable trajectories. This is a particularly challenging problem as it requires the…
Modeling Cooperative Navigation in Dense Human Crowds
Anirudh Vemula, Katharina Muelling, Jean Oh
For robots to be a part of our daily life, they need to be able to navigate among crowds not only safely but also in a socially compliant fashion. This is a challenging problem bec…