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Found 8 papers, 4 papers with code
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
To overcome the data multi-modality and architecture heterogeneity challenges in the recommendation domain, NASRec establishes a large supernet (i. e., search space) to search the full architectures.
Personalized Execution Time Optimization for the Scheduled Jobs
Scheduled batch jobs have been widely used on the asynchronous computing platforms to execute various enterprise applications, including the scheduled notifications and the candidate pre-computation for the modern recommender systems.
A Validation Tool for Designing Reinforcement Learning Environments
Reinforcement learning (RL) has gained increasing attraction in the academia and tech industry with launches to a variety of impactful applications and products.
Reinforcement Learning-based Product Delivery Frequency Control
We demonstrate statistically significant improvement in daily metrics and resource efficiency by our method in several notification applications at a scale of billions of users.
Band-limited Soft Actor Critic Model
Soft Actor Critic (SAC) algorithms show remarkable performance in complex simulated environments.
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
In this paper we present Horizon, Facebook's open source applied reinforcement learning (RL) platform.
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games
Deck building is a crucial component in playing Collectible Card Games (CCGs).
The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
The selection of heroes, also known as pick or draft, takes place before the match starts and alternates between the two teams until each player has selected one hero.
