Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy | Podcast

Channel:
Microsoft Research
Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=LSQXi6mC5JM


Category:
Show
Duration: 38:41
2,535 views
49

Episode 117 | June 3, 2020

MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it out of the lab and into the real world. One of those researchers is Dr. Akshay Krishnamurthy and today, he explains how his work on feedback-driven data collection and provably efficient reinforcement learning algorithms is helping to move the RL needle in the real-world direction.

See more on this and other Microsoft Research podcast episodes: https://www.microsoft.com/en-us/research/blog/category/podcast/



Other Videos By Microsoft Research


2020-06-14Hyper-STAR: Task-Aware Hyperparameters for Deep Networks
2020-06-14Violin: A Large-Scale Dataset for Video-and-Language Inference
2020-06-14Local Context Normalization: Revisiting Local Normalization
2020-06-10Supervised Deep Hashing for Efficient Audio Retrieval
2020-06-10Transparency and Intelligibility Throughout the Machine Learning Life Cycle
2020-06-10Machine Learning and Fairness Webinar
2020-06-10Consumer Brain-Computer Interfaces: From Science Fiction to Reality
2020-06-10Highly Conductive Flexible Sensor Integrated With Personal Devices For Practical Bio-Signal Measure
2020-06-08Microsoft Build 2020: Kevin Scott keynote with Lila Tretikov
2020-06-03Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen | Podcast
2020-06-03Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy | Podcast
2020-06-01What ‘bhasha’ do you want to talk in? With Kalika Bali and Dr. Monojit Choudhury | Podcast
2020-05-26Explaining Decisions from Vision Models and Correcting them via Human Feedback
2020-05-26Auditing Outsourced Services
2020-05-26MSR Distinguished Lecture Series: First-person Perception and Interaction
2020-05-26Large-scale live video analytics over 5G multi-hop camera networks
2020-05-26Kristin Lauter's TED Talk on Private AI at Congreso Futuro during Panel 11 / SOLVE
2020-05-19How an AI agent can balance a pole using a simulation
2020-05-19How to build Intelligent control systems using new tools from Microsoft and simulations by Mathworks
2020-05-13Diving into Deep InfoMax with Dr. Devon Hjelm | Podcast
2020-05-08An Introduction to Graph Neural Networks: Models and Applications


Tags:
reinforcement learning
feedback-driven data collection
Dr. Akshay Krishnamurthy
efficient reinforcement learning algorithms
real-world reinforcement learning
Microsoft Research Podcast
Microsoft Research New York City lab