research
∙
03/10/2023
Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers
Diffusion MRI is a non-invasive, in-vivo medical imaging method able to ...
share
research
∙
12/21/2022
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Imitation learning (IL) is a simple and powerful way to use high-quality...
research
∙
04/19/2021
Deep Reinforcement Learning in a Monetary Model
We propose using deep reinforcement learning to solve dynamic stochastic...
research
∙
12/22/2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Evolution in nature illustrates that the creatures' biological structure...
research
∙
09/27/2019
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation
Imitation learning is a popular approach for training effective visual n...
research
∙
07/21/2019
Characterizing Attacks on Deep Reinforcement Learning
Deep reinforcement learning (DRL) has achieved great success in various ...
research
∙
04/24/2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
Machine learning has been widely applied to various applications, some o...
research
∙
03/31/2019
Risk Averse Robust Adversarial Reinforcement Learning
Deep reinforcement learning has recently made significant progress in so...
research
∙
08/26/2018
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data
Self-driving vehicle vision systems must deal with an extremely broad an...
research
∙
06/22/2018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Humans are able to understand and perform complex tasks by strategically...
research
∙
04/13/2017
Virtual to Real Reinforcement Learning for Autonomous Driving
Reinforcement learning is considered as a promising direction for drivin...
research
∙
10/19/2016
