research
∙
02/03/2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
share
research
∙
01/27/2023
Reinforcement Learning from Diverse Human Preferences
The complexity of designing reward functions has been a major obstacle t...
research
∙
12/06/2022
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement
Current advances in recommender systems have been remarkably successful ...
research
∙
06/01/2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Long-term engagement is preferred over immediate engagement in sequentia...
research
∙
01/17/2022
NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search
How resources are deployed to secure critical targets in networks can be...
research
∙
08/09/2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Recent studies in multi-agent communicative reinforcement learning (MACR...
research
∙
06/02/2021
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
Securing networked infrastructures is important in the real world. The p...
research
∙
05/18/2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
In many real-world scenarios, a team of agents coordinate with each othe...
research
∙
05/04/2020
