Papers
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck, Dieter Fox
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay, Thang To, Balakumar Sundaralingam et al.
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments
Anirudha Majumdar, Maxwell Goldstein
Feature Learning for Scene Flow Estimation from LIDAR
Arash K. Ushani, Ryan M. Eustice
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Jacky Liang, Viktor Makoviychuk, Ankur Handa et al.
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
Patrick Wenzel, Qadeer Khan, Daniel Cremers et al.
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer, Nikolay Savinov, Andreas Geiger
Inferring geometric constraints in human demonstrations
Guru Subramani, Michael Zinn, Michael Gleicher
Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments
Gregory J. Stein, Christopher Bradley, Nicholas Roy
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments
Vitor Guizilini, Fabio Ramos
Fast 3D Modeling with Approximated Convolutional Kernels
Vitor Guizilini, Fabio Ramos
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation
John Martin, Jinkun Wang, Brendan Englot
Particle Filter Networks with Application to Visual Localization
Peter Karkus, David Hsu, Wee Sun Lee
Motion Perception in Reinforcement Learning with Dynamic Objects
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun et al.
HDNET: Exploiting HD Maps for 3D Object Detection
Bin Yang, Ming Liang, Raquel Urtasun
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Elia Kaufmann, Antonio Loquercio, Rene Ranftl et al.
Including Uncertainty when Learning from Human Corrections
Dylan P. Losey, Marcia K. O’Malley
Energy-Based Hindsight Experience Prioritization
Rui Zhao, Volker Tresp
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Eric Jang, Coline Devin, Vincent Vanhoucke et al.
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
Haonan Yu, Xiaochen Lian, Haichao Zhang et al.
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
Jianwei Yang, Jiasen Lu, Stefan Lee et al.
Neural Modular Control for Embodied Question Answering
Abhishek Das, Georgia Gkioxari, Stefan Lee et al.
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie, Avi Singh, Sergey Levine et al.
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed OhnBar, Kris Kitani, Chieko Asakawa
Driving Policy Transfer via Modularity and Abstraction
Matthias Mueller, Alexey Dosovitskiy, Bernard Ghanem et al.