research
∙
07/11/2023
MG3MConv: Multi-Grained Matrix-Multiplication-Mapping Convolution Algorithm toward the SW26010 Processor
As the core of artificial intelligence applications, the research of con...
share
research
∙
12/03/2022
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
Reinforcement learning often suffer from the sparse reward issue in real...
research
∙
12/02/2022
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks
Learning generalizable insertion skills in a data-efficient manner has l...
research
∙
10/01/2022
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Humans are capable of abstracting various tasks as different combination...
research
∙
03/28/2022
Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks
Manipulating deformable linear objects by robots has a wide range of app...
research
∙
11/17/2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Rewards play a crucial role in reinforcement learning. To arrive at the ...
research
∙
08/20/2020
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference
In human-robot interaction (HRI) systems, such as autonomous vehicles, u...
research
∙
06/22/2020
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving
In the past decades, we have witnessed significant progress in the domai...
research
∙
02/01/2018
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters
We propose a novel approach for instance segmen- tation given an image o...
research
∙
03/04/2015