Classically, imitation learning algorithms have been developed for idealized situations, e.g., the demonstrations are often required to be collected in the exact same environment and usually include ...
As president in my sophomore year, CSB tried to do a couple of things. One was social bonding—bringing everyone together through socials and having fun. The other part was sourcing career networking ...
Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...
PhD student Yeonju Ro received the 2024 IBM PhD Fellowship award with an endowment of $40,000.
Transfer learning is a method where an agent reuses knowledge learned in a source task to improve learning on a target task. Recent work has shown that transfer learning can be extended to the idea of ...
where context-name is the name of the context (usually the name of the kind of object being identified or diagnosed, e.g., rock or patient), parameters is a list of parameter descriptions, ...
Greg Plaxton is a professor of Computer Science at the University of Texas at Austin. His research addresses the design and analysis of efficient algorithms for various basic computational problems, ...
A Multiagent Approach to Autonomous Intersection Management. Kurt Dresner and Peter Stone.
The theory not only explains the first order effects which are dominant in angle range of to , but also accounts for the second order effects which can be seen in to range, where the sign of the ...
These are excerpts from an article by Steven Weinberg published in the New York Review of Books, Vol XLV, Number 15 (1998). I first read Thomas Kuhn's famous book The Structure of Scientific ...
Most of our cognitive functions and perceptual processes are carried out by the neocortex, which is the largest part of the human brain. The primary visual cortex is the part of the neocortex that ...
I am currently conducting fundamental research in the area of distributed real-time systems. My primary concerns include specification techniques for real-time systems, algorithms for guaranteeing ...