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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 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
CIE
2007
Springer
13 years 7 months ago
Multimodal multiplayer tabletop gaming
There is a large disparity between the rich physical interfaces of co-located arcade games and the generic input devices seen in most home console systems. In this paper we argue ...
Edward Tse, Saul Greenberg, Chia Shen, Clifton For...
ROMAN
2007
IEEE
150views Robotics» more  ROMAN 2007»
14 years 2 months ago
Asymmetric Interpretations of Positive and Negative Human Feedback for a Social Learning Agent
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
Andrea Lockerd Thomaz, Cynthia Breazeal
WSC
2001
13 years 9 months ago
The design of a web-based training system for simulation analysis
Simulation beginners often spend a great amount of time to accumulate the knowledge as well as the experience to overcome the technical complexity of computer simulation. Limited ...
Yu-Hui Tao, Shin-Ming Guo
AIEDU
2007
83views more  AIEDU 2007»
13 years 7 months ago
Evidence-based Approach to Interacting with Open Student Models
Research efforts focused on developing "active reports" are currently underway. Active reports are designed to foster communication among teachers, students, and parents ...
Diego Zapata-Rivera, Eric G. Hansen, Valerie J. Sh...