'Target task' presentation slideshows

Predicting and Explaining Individual Performance in Complex Tasks

Predicting and Explaining Individual Performance in Complex Tasks. Marsha Lovett, Lynne Reder, Christian Lebiere, John Rehling, Baris Demiral. This project is sponsored by the Department of the Navy, Office of Naval Research. Multi-Tasking. A single person can perform multiple tasks.

645 views • 64 slides

Autonomous Inter-Task Transfer in Reinforcement Learning Domains

Autonomous Inter-Task Transfer in Reinforcement Learning Domains. Matthew E. Taylor Learning Agents Research Group Department of Computer Sciences University of Texas at Austin 6/24/2008. Inter-Task Transfer. Learning tabula rasa can be unnecessarily slow Humans can use past information

559 views • 55 slides

Not Just a Qualification: Getting Students to Integrate What They Learn Into Their Lives

485 views • 38 slides

Skill Acquisition via Transfer Learning and Advice Taking

Skill Acquisition via Transfer Learning and Advice Taking. Lisa Torrey, Jude Shavlik, Trevor Walker University of Wisconsin-Madison, USA Richard Maclin University of Minnesota-Duluth, USA. Transfer Learning. Agent encounters related Task B. So far the user provides this info to the agent.

298 views • 29 slides

Transfer Learning with Inter-Task Mappings

Transfer Learning with Inter-Task Mappings. Matthew E. Taylor Joint work with Peter Stone Department of Computer Sciences The University of Texas at Austin. Transfer Motivation. Learning tabula rasa can be unnecessarily slow Humans can use information from previous tasks

155 views • 15 slides

Principles of Language Assessment

Principles of Language Assessment. Questions to check whether or not the test is well designed: How do you know if a test is effective? Can it be given within appropriate administrative constraints? Is it dependable? Does it accurately measure what we want to measure?. PRATICALITY

1.99k views • 11 slides

Transfer Learning and Intelligence: an Argument and Approach

Transfer Learning and Intelligence: an Argument and Approach. Matthew E. Taylor Joint work with: Gregory Kuhlmann and Peter Stone. Learning Agents Research Group Department of Computer Sciences The University of Texas at Austin. Result Summary: AGI-08.

106 views • 10 slides

Control Theoretical Model for QoS Adaptations

Control Theoretical Model for QoS Adaptations. Goal: develop a Task Control Model to formally model applications that adapt to resource/QoS variations Use digital control theory Analyze equilibrium, stability and fairness

158 views • 6 slides