www.cs.utexas.edu

3D Reconstruction and Understanding

This course will cover a broad range of topics in the general area of 3D Vision and 3D Geometry Processing, ranging from 1) reconstructing 3D models from images and depth scans, 2) 3D representations ...
www.cs.utexas.edu

Accelerating Search with Transferred Heuristics

Accelerating Search with Transferred Heuristics. Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. In ICAPS-07 workshop on AI Planning and Learning, September 2007.
www.cs.utexas.edu

Transfer Learning for Reinforcement Learning Domains: A Survey

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
www.cs.utexas.edu

SET-GUARD-CHECKING

Detailed comments about the arguments of this function may be found elsewhere: see guard-evaluation-table. Here we provide an introduction to the use of set-guard-checking. New users are encouraged to ...
www.cs.utexas.edu

Matthew Lease

Dr. Lease investigates two principal research areas: information retrieval (IR) and crowdsourcing (human computation). His IR research develops new models and algorithms to improve search engine ...
www.cs.utexas.edu

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Journal of Machine Learning Research, 8(1):2125–2167, 2007.
www.cs.utexas.edu

Artificial Intelligence and Life in 2030

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
www.cs.utexas.edu

Deep Reinforcement Learning in Parameterized Action Space

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 ...
www.cs.utexas.edu

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. Sanmit Narvekar, Bei Peng, Matteo ...
www.cs.utexas.edu

Learning to Interpret Natural Language Commands through Human-Robot Dialog

Learning to Interpret Natural Language Commands through Human-Robot Dialog. Jesse Thomason, Shiqi Zhang, Raymond Mooney, and Peter Stone. In Proceedings of the 2015 International Joint Conference on ...
www.cs.utexas.edu

DEFINE-PC-HELP

What (define-pc-help name args &rest body) really does is to create a call of define-pc-macro that defines name to take arguments args, to have the declarations indicated by all but the last form in ...