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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
UM
2007
Springer
14 years 1 months ago
Inducing User Affect Recognition Models for Task-Oriented Environments
Accurately recognizing users’ affective states could contribute to more productive and enjoyable interactions, particularly for task-oriented learning environments. In addition t...
Sunyoung Lee, Scott W. McQuiggan, James C. Lester
ACMACE
2006
ACM
14 years 1 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
ICRA
2005
IEEE
166views Robotics» more  ICRA 2005»
14 years 1 months ago
Bilateral Teleoperation of Multiple Cooperative Robots over Delayed Communication Networks: Theory
Abstract— We propose a control framework for the bilateral teleoperation between a single master robot and multiple cooperative slave robots with communication-delay in the maste...
Dongjun Lee, Mark W. Spong
ICRA
2005
IEEE
136views Robotics» more  ICRA 2005»
14 years 1 months ago
Polychaete-like Undulatory Robotic Locomotion
- Polychaete annelid worms provide a biological paradigm of versatile locomotion and effective motion control, adaptable to a large variety of unstructured environmental conditions...
Dimitris P. Tsakiris, Michael Sfakiotakis, Arianna...