Search Results for author:
Found 4 papers, 0 papers with code
Convolutional Bayesian Filtering
In this paper, we find that by adding an additional event that stipulates an inequality condition, we can transform the conditional probability into a special integration that is analogous to convolution.
Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation
In this research, we focus on the problem of learning to reward (LTR), which is fundamental to reinforcement learning.
Classifying Crime Types using Judgment Documents from Social Media
Experiments show that the proposed method achieves state-of-the-art results on the present dataset.
Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns
We introduce NightPulse, an interactive tool for Night-time light (NTL) data visualization and analytics, which enables researchers and stakeholders to explore and analyze NTL data with a user-friendly platform.
