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08/11/2023
A Large Language Model Enhanced Conversational Recommender System
Conversational recommender systems (CRSs) aim to recommend high-quality ...
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06/06/2023
State Regularized Policy Optimization on Data with Dynamics Shift
In many real-world scenarios, Reinforcement Learning (RL) algorithms are...
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06/04/2023
Generative Flow Network for Listwise Recommendation
Personalized recommender systems fulfill the daily demands of customers ...
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02/07/2023
Multi-Task Recommendations with Reinforcement Learning
In recent years, Multi-task Learning (MTL) has yielded immense success i...
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02/03/2023
Reinforcing User Retention in a Billion Scale Short Video Recommender System
Recently, short video platforms have achieved rapid user growth by recom...
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02/03/2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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12/06/2022
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement
Current advances in recommender systems have been remarkably successful ...
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06/01/2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Long-term engagement is preferred over immediate engagement in sequentia...
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05/26/2022
Constrained Reinforcement Learning for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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03/04/2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
In this paper, we propose a novel semi-supervised learning (SSL) framewo...
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12/13/2021
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
Text-based image captioning (TextCap) requires simultaneous comprehensio...
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08/10/2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Data processing and analytics are fundamental and pervasive. Algorithms ...
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10/19/2020
Softmax Deep Double Deterministic Policy Gradients
A widely-used actor-critic reinforcement learning algorithm for continuo...
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05/25/2020
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce
The slate re-ranking problem considers the mutual influences between ite...
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11/11/2019
Multi-Path Policy Optimization
Recent years have witnessed a tremendous improvement of deep reinforceme...
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09/09/2019
Deterministic Value-Policy Gradients
Reinforcement learning algorithms such as the deep deterministic policy ...
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06/16/2019
Reinforcement Learning Driven Heuristic Optimization
Heuristic algorithms such as simulated annealing, Concorde, and METIS ar...
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03/14/2019
Reinforcement Learning with Dynamic Boltzmann Softmax Updates
Value function estimation is an important task in reinforcement learning...
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11/18/2018
Policy Optimization with Model-based Explorations
Model-free reinforcement learning methods such as the Proximal Policy Op...
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07/10/2018
Generalized deterministic policy gradient algorithms
We study a setting of reinforcement learning, where the state transition...
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02/13/2018
Rebalancing Dockless Bike Sharing Systems
Bike sharing provides an environment-friendly way for traveling and is b...
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02/12/2018
Policy Gradients for Contextual Bandits
We study a generalized contextual-bandits problem, where there is a stat...
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08/25/2017
Reinforcement Mechanism Design for e-commerce
We study the problem of allocating impressions to sellers in e-commerce ...
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08/25/2017