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06/26/2023
Scalable Neural Contextual Bandit for Recommender Systems
High-quality recommender systems ought to deliver both innovative and re...
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06/01/2023
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Model-based reinforcement learning (RL) has shown great promise due to i...
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05/23/2023
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning
Auction-based recommender systems are prevalent in online advertising pl...
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04/05/2023
Optimism Based Exploration in Large-Scale Recommender Systems
Bandit learning algorithms have been an increasingly popular design choi...
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09/26/2021
Deep Exploration for Recommendation Systems
We investigate the design of recommendation systems that can efficiently...
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08/10/2020
Multi-Agent Safe Planning with Gaussian Processes
Multi-agent safe systems have become an increasingly important area of s...
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09/11/2017