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AAAI
2006
15 years 6 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
142
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PADS
2006
ACM
15 years 10 months ago
Intelligent Management of Data Driven Simulations to Support Model Building
Artificial intelligence (AI) can contribute to the management of a data driven simulation system, in particular with regard to adaptive selection of data and refinement of the mo...
Catriona Kennedy, Georgios K. Theodoropoulos
EVOW
2009
Springer
15 years 9 months ago
Evolving Teams of Cooperating Agents for Real-Time Strategy Game
We apply gene expression programing to evolve a player for a real-time strategy (RTS) video game. The paper describes the game, evolutionary encoding of strategies and the technica...
Pawel Lichocki, Krzysztof Krawiec, Wojciech Jaskow...
ROBOCUP
2005
Springer
134views Robotics» more  ROBOCUP 2005»
15 years 10 months ago
Simultaneous Learning to Acquire Competitive Behaviors in Multi-agent System Based on Modular Learning System
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Yasutake Takahashi, Kazuhiro Edazawa, Kentarou Nom...
IDEAL
2007
Springer
15 years 10 months ago
Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning
We apply learning vector quantization to the analysis of tiling microarray data. As an example we consider the classification of C. elegans genomic probes as intronic or exonic. T...
Michael Biehl, Rainer Breitling, Yang Li