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ICML
2001
IEEE
16 years 3 months ago
Convergence of Gradient Dynamics with a Variable Learning Rate
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
Michael H. Bowling, Manuela M. Veloso
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 9 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
HICSS
2006
IEEE
120views Biometrics» more  HICSS 2006»
15 years 9 months ago
Systems Thinking and Information Literacy: Elements of a Knowledge Enabling Workplace Environment
Dynamic technology-driven circumstances fortify academic librarians’ reconsideration of their professional purposes, processes and relationships. In response, California Polytec...
Mary M. Somerville, Anita Mirijamdotter, Lydia Col...
IUI
2005
ACM
15 years 8 months ago
TaskTracer: a desktop environment to support multi-tasking knowledge workers
This paper reports on TaskTracer — a software system being designed to help highly multitasking knowledge workers rapidly locate, discover, and reuse past processes they used to...
Anton N. Dragunov, Thomas G. Dietterich, Kevin Joh...
JCAL
2010
93views more  JCAL 2010»
14 years 9 months ago
The modality effect tested in children in a user-paced multimedia environment
Abstract The modality learning effect proposes that learning is enhanced when information is presented in both the visual and the auditory domains (e.g. pictures and spoken informa...
Marijt J. Witteman, Eliane Segers