research
∙
03/03/2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
Inspired by the recent success of sequence modeling in RL and the use of...
share
research
∙
12/05/2022
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS
Recently, spoken dialogue systems have been widely deployed in a variety...
research
∙
04/02/2022
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation
Ads allocation, that allocates ads and organic items to limited slots in...
research
∙
04/02/2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
With the recent prevalence of reinforcement learning (RL), there have be...
research
∙
04/01/2022
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation
A mixed list of ads and organic items is usually displayed in feed and h...
research
∙
09/09/2021
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
E-commerce platforms usually display a mixed list of ads and organic ite...
research
∙
08/25/2021
Inductive Matrix Completion Using Graph Autoencoder
Recently, the graph neural network (GNN) has shown great power in matrix...
research
∙
02/22/2021
Return-Based Contrastive Representation Learning for Reinforcement Learning
Recently, various auxiliary tasks have been proposed to accelerate repre...
research
∙
10/03/2020
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis
Modern machine learning models (such as deep neural networks and boostin...
research
∙
08/25/2020
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing
In mobile crowdsourcing (MCS), the platform selects participants to comp...
research
∙
06/11/2020
Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL
Exploring the transition dynamics is essential to the success of reinfor...
research
∙
05/27/2019
