Explorations (and some exploitations) in reinforcement learning, by Aditya Gopalan
The talk will present some recent work in black-box stochastic optimization, online reinforcement learning, and learning with relative preference information.
About the speaker
Aditya Gopalan is an Assistant Professor and INSPIRE Faculty Fellow at the Indian Institute of Science, Dept. of Electrical Communication Engineering. He received the Ph.D. degree in electrical engineering from The University of Texas at Austin, and followed it up with a postdoc at the Technion-Israel Institute of Technology. His research interests include machine learning and statistical inference, control, and algorithms for resource allocation in communication networks.