Papers
MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large-Scale Pointclouds
Liuyue Xie, Tomotake Furuhata, Kenji Shimada
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
Bruno Ferreira de Brito, Hai Zhu, Wei Pan et al.
Relational Learning for Skill Preconditions
Mohit Sharma, Oliver Kroemer
Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation
Mohit Sharma, Jacky Liang, Jialiang Zhao et al.
Safe Policy Learning for Continuous Control
Yinlam Chow, Ofir Nachum, Aleksandra Faust et al.
Untangling Dense Knots by Learning Task-Relevant Keypoints
Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan et al.
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Vaisakh Shaj, Philipp Becker, Dieter Büchler et al.
Assisted Perception: Optimizing Observations to Communicate State
Siddharth Reddy, Sergey Levine, Anca Dragan
Transporter Networks: Rearranging the Visual World for Robotic Manipulation
Andy Zeng, Pete Florence, Jonathan Tompson et al.
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
Rose Wang, J. Chase Kew, Dennis Lee et al.
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Lucas Manuelli, Yunzhu Li, Pete Florence et al.
Interactive Imitation Learning in State-Space
Snehal Jauhri, Carlos Celemin, Jens Kober
Sim-to-Real Transfer for Vision-and-Language Navigation
Peter Anderson, Ayush Shrivastava, Joanne Truong et al.
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
Sarah Dean, Andrew Taylor, Ryan Cosner et al.
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Kai Ploeger, Michael Lutter, Jan Peters
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
Alex Bewley, Pei Sun, Thomas Mensink et al.
The EMPATHIC Framework for Task Learning from Implicit Human Feedback
Yuchen Cui, Qiping Zhang, Brad Knox et al.
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
Jun Yamada, Youngwoon Lee, Gautam Salhotra et al.
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie, Dylan Losey, Ryan Tolsma et al.
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan, Ashwin Vangipuram, Pieter Abbeel et al.
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing
Ignat Georgiev, Christoforos Chatzikomis, Timo Voelkl et al.
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni, Harshit Sikchi, Yufei Wang et al.
Learning hierarchical relationships for object-goal navigation
Anwesan Pal, Yiding Qiu, Henrik Christensen
Auxiliary Tasks Speed Up Learning Point Goal Navigation
Joel Ye, Dhruv Batra, Erik Wijmans et al.
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Prasoon Goyal, Scott Niekum, Raymond Mooney