Improving reinforcement learning algorithm using emotions in a multi-agent system

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2792, Issue , 2003, Pages 361-362

  Daneshvar, Roozbeh ^a   Lucas, Caro ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BEHAVIORAL RESEARCH; COMPUTER SIMULATION; LEARNING ALGORITHMS; MULTI AGENT SYSTEMS; SIGNAL DETECTION; INTELLIGENT AGENTS; INTELLIGENT VIRTUAL AGENTS; REINFORCEMENT LEARNING;

EMOTIONS; Q-LEARNING; REINFORCEMENT LEARNING; GENERATING SIGNALS; LEARNING METHODS; NEW APPROACHES; PRESENT SITUATION;

LEARNING SYSTEMS; LEARNING ALGORITHMS;

EID: 9444236242     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39396-2_64     Document Type: Conference Paper

References (3)

1. C. Lucas, S.A. Jazbi, M. Fatourechi, M. Farshad, Cognitive action selection with neurocontrollers, Third Iran-Armenia Workshop on Neural Networks, Yerevan, Armenia, 2000.
2. P. Maes, Modeling adaptive autonomous agents. In C. G. Langton, editor, Artificial Life: An Overview, pages 135-162, The MIT Press, Cambridge, MA, 1995.
3. R.S.Sutton, A.G.Barto, Reinforcement Learning: an introduction, The MIT Press.