Shivaram Kalyanakrishnan is a scientist at Yahoo! Labs Bangalore. His primary research interests lie in the fields of artificial intelligence and machine learning, spanning areas such as reinforcement learning, agents and multiagent systems, humanoid robotics, multi-armed bandits, and on-line advertising. He obtained his Ph.D. in Computer Science from The University of Texas at Austin (2011), and his B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Madras (2004). He has extensively used robot soccer as a test domain for his research, and has actively contributed to initiatives such as RoboCup and the Reinforcement Learning competitions.
We are very pleased to now share our 50th dataset in our Webscope data sharing program.
We’re thrilled to announce a new five-year, $10 million partnership with Carnegie Mellon University (CMU) to advance research in mobile and...
Steven Schockaert speaks about "Modelling Semantic Relatedness Using Spatial Relations in Conceptual Spaces"
In this talk, using two case studies, I will argue that valuable symbolic knowledge can be derived from conceptual spaces, by identifying various...
Stephann Makri speaks about "Making Your Own Luck: 'Serendipity Strategies' and Designing to Support them"
Can we design interactive systems to create opportunities for users to experience serendipity? In this interactive talk, Stephann will answer this...