Improving reinforcement learning function approximators via neuroevolution

Proceedings of the International Conference on Autonomous Agents

Volumn , Issue , 2005, Pages 1463-

  Whiteson, Shimon ^a  

^a University of Texas at Austin   (United States)

Author keywords

Genetic algorithms; Neural networks; Reinforcement learning

Indexed keywords

APPROXIMATION THEORY; AUTOMATA THEORY; COMPUTATION THEORY; FUNCTIONS; GENETIC ALGORITHMS; NEURAL NETWORKS;

FUNCTION APPROXIMATORS; Q-LEARNING; REINFORCEMENT LEARNING; TEMPORAL DIFFERENCE METHODS;

LEARNING SYSTEMS;

EID: 33644798410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (2)

1. K. O. Stanley arid R. Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10(2):99-127, 2002.
2. R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA, 1998.