117 - Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy
Dr. Akshay Krishnamurthy is a leading reinforcement learning researcher based at MSR's New York City lab. In this episode, he sheds light on his work around feedback-driven data collection and developing provably efficient reinforcement learning algorithms. The ultimate aim of his research is to make RL more practical and applicable in the real world and not just confined to labs.
While MSR's New York City lab is known for its cutting-edge RL research, Dr. Krishnamurthy is focused on bridging the gap between theory and practice. His work has huge implications for the future of RL and its practical applications in various domains.
Tune in to this episode to learn about the challenges in RL and how Dr. Krishnamurthy is addressing them to create a lasting impact on the field.
Link to listen: https://open.spotify.com/episode/4SDwZfQN9FxnuVheiMM52b
Published on:
Learn moreRelated posts
How To Write Efficient, High-Performance Julia Code
Julia programming language is becoming increasingly popular in the field of data science and machine learning due to its high performance and ...
Machine Learning Engineer Vs Software Engineer
If you're considering pursuing a career in the tech industry, it's important to understand the differences between the roles of a Machine Lear...
Machine Learning Explained: 3 Key Types & Differences
Machine learning is a rapidly growing field of artificial intelligence that involves developing algorithms and statistical models for computer...
Pandas AI: Data Analysis With Artificial Intelligence
Pandas, a popular Python library for data analysis, has just received a boost in the form of Pandas AI. This new addition enables Pandas to di...
What is Classification in Machine Learning? Let Us Explain
Machine learning has revolutionized the world we live in. From movie recommendations on Netflix to filtering spam emails in Gmail, machine lea...
117 - Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy
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’...
116 - Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen
In this podcast episode, Dr. Siddhartha Sen, a Principal Researcher at Microsoft's New York City lab, shares his insights on cutting-edge rese...
116 - Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen
In this podcast episode, Dr. Siddhartha Sen, a Principal Researcher at Microsoft's New York City lab, discusses his research interests which i...
117 - Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy
In this podcast episode, Dr. Akshay Krishnamurthy discusses the topic of reinforcement learning, a kind of machine learning that’s widely used...