Reinforcement learning

…which is an open source project distributed system that a lot of companies use to scale and run compute intensive AI workloads ranging from model training to training data preparation, inference, reinforcement learning.…

…I tried to build a stock-trading robot using reinforcement learning.…

…And Marlos works a lot in the AI reinforcement learning area.…

…And then as we ramped up our inference efforts, the whole reinforcement learning wave came.…

…I did some research in reinforcement learning at epfl.…

…time , then they set up those guardrails performance guardrails in the system and then we basically train our models and to answer your questions in that situation , for example , we leverage reinforcement learning .…

…Pricing, Demand Forecasting, and AI-Driven Decision-Making," which explores how AI is transforming real-time pricing optimization, predictive demand modeling, and next-gen AI applications like reinforcement learning and generative AI in retail.…

…this data learning platform where we train AI models from how uses and applications interact with the data and the cloud, and then we start our agents that you know, for those of you from our reinforcement learning, which is essentially a major step in lll MS, very similar concept.…

…peaker B: But to me that sounds like reinforcement learning.…

…And actually, the best part of the class was this kind of reinforcement learning piece where you train a fellow program through reinforcement learning to...…

…This TikTok combination of agentic optimization and domain specific validation and is the perfect recipe for reinforcement learning.…

…Um, machine learning, reinforcement learning, neural networks, like this all falls under that umbrella.…

…00:04:19,439 applications interact with the data and the cloud, and then 85 00:04:19,480 - > 00:04:22,160 we start our agents, you know, for those of you 86 00:04:22,279 - > 00:04:25,839 from our reinforcement learning, which is essentially a major step 87 00:04:25,879 - > 00:04:28,759 in lll MS, very similar concept.…

…And so one of the ways that we do that is through like a common practice is through reinforcement learning, where you're [00:08:00] essentially training something over feed feedback that's provided to it of whether it got the question right or wrong, if it's routing that question or that request or that set of tokens to the…

…Yeah, this book contains not just kind of your typical machine learning and neural networks and reinforcement learning, but it starts at the beginning with kind of how do we solve problems in general?…

…Um, and so that feedback loop is essentially reinforcement learning where the user's disengagement is giving feedback to the self driving system on where it's not doing well.…

…I know I spent a small stint of time in Facebook AI research when I worked on the first type of transformers, mostly applied to reinforcement learning.…

…Another is to use reinforcement learning - the engine learns which recommendations get ignored and stops showing them.…

…Okay, so, yeah, Sutton, he wrote this book on reinforcement learning, and, like, his.…

…Reinforcement learning optimizes prices under constraints, balancing margin, inventory, risk, fairness, rules and conversion.…

…I don't know why for the industry but uh, we were very focused on inference and then as we ramped up our inference efforts, the whole reinforcement learning wave came.…

…then I think some of these algorithm that has, since, you know, has, has proven a lot very effective, have started actually three, four years ago, started to show some signs of life offline, uh, reinforcement learning being one of them.…