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» Reinforcement Learning and Shaping: Encouraging Intended Beh...
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AAAI
1997
13 years 6 months ago
Machine Learning for Intelligent Systems
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...
Pat Langley
ATAL
2010
Springer
13 years 5 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
HICSS
2000
IEEE
134views Biometrics» more  HICSS 2000»
13 years 9 months ago
Peer-to-Peer Valuation as a Mechanism for Reinforcing Active Learning in Virtual Communities: Actualizing Social Exchange Theory
As knowledge becomes the primary focus of work in many industries, virtual communities and groups are emerging as part of new organizational forms. Within these virtual forms, eff...
Amrit Tiwana, Ashley A. Bush
ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
13 years 11 months ago
Learning from human teachers with Socially Guided Exploration
— We present a learning mechanism, Socially Guided Exploration, in which a robot learns new tasks through a combination of self-exploration and social interaction. The system’s...
Cynthia Breazeal, Andrea Lockerd Thomaz
CIA
2007
Springer
13 years 11 months ago
Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conicts in the behavior of agents can make the execution of interacti...
Gerben G. Meyer, Nicolae B. Szirbik