research
∙
08/22/2023
Careful at Estimation and Bold at Exploration
Exploration strategies in continuous action space are often heuristic du...
share
research
∙
06/13/2023
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
Offline reinforcement learning (RL) provides a promising solution to lea...
research
∙
06/08/2023
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning
Recent works have shown the potential of diffusion models in computer vi...
research
∙
04/18/2023
Multi-Modality Multi-Scale Cardiovascular Disease Subtypes Classification Using Raman Image and Medical History
Raman spectroscopy (RS) has been widely used for disease diagnosis, e.g....
research
∙
04/18/2023
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides
Artificial intelligence-enabled histopathological data analysis has beco...
research
∙
02/28/2023
Policy Dispersion in Non-Markovian Environment
Markov Decision Process (MDP) presents a mathematical framework to formu...
research
∙
10/14/2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Multi-agent reinforcement learning has drawn increasing attention in pra...
research
∙
10/08/2022
Learning the Network of Graphs for Graph Neural Networks
Graph neural networks (GNNs) have achieved great success in many scenari...
research
∙
09/29/2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
Existing fake news detection methods aim to classify a piece of news as ...
research
∙
05/20/2022
Sigmoidally Preconditioned Off-policy Learning:a new exploration method for reinforcement learning
One of the major difficulties of reinforcement learning is learning from...
research
∙
05/28/2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation
Post-click conversion, as a strong signal indicating the user preference...
research
∙
09/08/2019
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Many real-world applications reveal difficulties in learning classifiers...
research
∙
09/08/2019
