Leave your feedback Share Copy URL https://mypepack.gophersport.com/video/?vid=Tth5iWTrGee Email Facebook Twitter LinkedIn Pinterest Tumblr Share on Facebook Share on Twitter AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training & Offline RL With Sergey Levine Norovirus [7EEGfXPTR8Y] Health Updated on August 06, 2026 EDT — Published on August 06, 2026 EDT Tag: #Norovirus, #andrew lloyd webber, #alex caruso, #orioles vs marlinsToday were taking a deep dive into the latest and greatest in the world of Reinforcement Learning with our friend Sergey Levine, an associate professor at UC Berkeley. In our conversation with Sergey, we explore some game-changing developments in the field including the release of ChatGPT and the onset of RLHF. We also explore more broadly the intersection of RL and language models, as well as advancements in offline RL and pre-training for robotics models, inverse RL, Q learning, and a host of papers along the way. Finally, you dont want to miss zepbound Sergeys predictions for the top developments of the year 2023! Subscribe to our channel for more great content just like this: CONNECT WITH US!===============================Subscribe to the TWIML AI Podcast: Join our Slack Community: Subscribe to our newsletter: Want to get in touch? Send us a message: LINKS & RESOURCES===============================Check out the show page for this episode for a complete list of resources mentioned in this episode! Camera: Microphone: Lights: Audio Interface: Stream ramon ayala Deck: centre bell
Tag: #Norovirus, #andrew lloyd webber, #alex caruso, #orioles vs marlinsToday were taking a deep dive into the latest and greatest in the world of Reinforcement Learning with our friend Sergey Levine, an associate professor at UC Berkeley. In our conversation with Sergey, we explore some game-changing developments in the field including the release of ChatGPT and the onset of RLHF. We also explore more broadly the intersection of RL and language models, as well as advancements in offline RL and pre-training for robotics models, inverse RL, Q learning, and a host of papers along the way. Finally, you dont want to miss zepbound Sergeys predictions for the top developments of the year 2023! Subscribe to our channel for more great content just like this: CONNECT WITH US!===============================Subscribe to the TWIML AI Podcast: Join our Slack Community: Subscribe to our newsletter: Want to get in touch? Send us a message: LINKS & RESOURCES===============================Check out the show page for this episode for a complete list of resources mentioned in this episode! Camera: Microphone: Lights: Audio Interface: Stream ramon ayala Deck: centre bell