research
∙
06/02/2023
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
In this work, we investigate the potential of improving multi-task train...
share
research
∙
04/03/2023
A Simple Approach for General Task-Oriented Picking using Placing constraints
Pick-and-place is an important manipulation task in domestic or manufact...
research
∙
10/21/2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
The purpose of multi-task reinforcement learning (MTRL) is to train a si...
research
∙
04/21/2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
Deep learning has recently achieved significant progress in trajectory f...
research
∙
03/28/2022
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
Motion forecasting in highly interactive scenarios is a challenging prob...
research
∙
09/13/2021
Cross Domain Robot Imitation with Invariant Representation
Animals are able to imitate each others' behavior, despite their differe...
research
∙
03/29/2021
6-DoF Contrastive Grasp Proposal Network
Proposing grasp poses for novel objects is an essential component for an...
research
∙
03/01/2021
