Switching the Loss Reduces the Cost in Batch Reinforcement Learning
We propose training fitted Q-iteration with log-loss (FQI-LOG) for batch reinforcement learning (RL). We...
Netflix: A Culture of Learning
We propose training fitted Q-iteration with log-loss (FQI-LOG) for batch reinforcement learning (RL). We...
Netflix is thrilled to sponsor the 2024 National Association for Business Economics (NABE) Tech Economics...
Netflix is thrilled to be the premier sponsor of the 2024 Conference on Digital Experimentation @ MIT....
High-quality and consistent annotations are essential for developing robust machine learning models, but...
When primary objectives are insensitive or delayed, experimenters may instead focus on proxy metrics...
We study inference on the long-term causal effect of a continual exposure to a novel intervention, which we...
Research at Netflix aims to improve various aspects of our business. Research applications span many areas including our recommendations, content valuation, streaming optimization, and user insights. To maximize the impact of our research, we do not centralize it into a separate organization. Instead, we have many teams that pursue research in close collaboration with business teams, engineering teams, and other researchers. Research that applies to the same methodological area or business area is shared and highlighted in discussion and debate forums to strengthen the work and its impact. These forums also serve to identify and motivate future research directions.
Researchers at Netflix love working in an unique environment enabled by the Netflix Culture that values curiosity, courage with smart risks, innovation, science, rigor, and high impact. Across the company, we strive to run experiments to back up our hypotheses with evidence, which often uncover surprises that redirect or refine our research. We relish the freedom to try new ideas and the opportunity to debate their implications with colleagues spanning all parts and levels of the company.
Driving insights from data
Seeing Beyond Pixels: Revolutionizing Perception with Computer Vision and Graphics
Uncovering rich human insights that guide the future path for Netflix
The best bang for your bytes
Letting members make the decisions
Learning how to entertain the world
Accelerating and democratizing ML innovation
Unlocking the Power of Words: Natural Language Processing at Netflix
Figuring out how to bring unique joy to each member