Using training regimens to teach expanding function approximators

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volumn 1, Issue , 2010, Pages 341-348

  Zang, Peng ^a   Irani, Arya J ^a   Zhou, Peng ^a   Isbell Jr , Charles L ^a   Thomaz, Andrea L ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Agents in games and virtual environments; Human robot agent interaction; Learning

Indexed keywords

APPROXIMATION ALGORITHMS; AUTONOMOUS AGENTS; REINFORCEMENT LEARNING; VIRTUAL REALITY;

FUNCTION APPROXIMATION; FUNCTION APPROXIMATORS; HUMAN-AGENT INTERACTION; HUMAN-ROBOT/AGENT INTERACTION; LEARNING; OPTIMAL VALUE FUNCTIONS; REAL WORLD ENVIRONMENTS; VALUE FUNCTION APPROXIMATION;

MULTI AGENT SYSTEMS;

EID: 84876913886     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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