Abstract : Introduction
Behavior-Based Approach
Supervised Learning of a Behavior
Miniature Mobile Robot Khepera
Illustration: Reward-Penalty Learning
Reinforcement Learning
Genetic Algorithms
Learning Classifier Systems
GA & ANN
Q-learning
Evaluation Function
Algorithm
Reinforcement Function
Update Function
Convergence
Limitations
Generalization
Neural Implementations of the Q-learning
Multilayer Perceptron Implementation (ideal & Q-CON)
Q-KOHON
Comparison
Knowledge Incorporation
Reinforcement Function Design
Building of a non-explicit Model
Learning in Cooperative Robotics
References
https://hal-amu.archives-ouvertes.fr/hal-01355056
Contributor : Claude Touzet <>
Submitted on : Monday, August 22, 2016 - 5:35:43 PM Last modification on : Monday, January 29, 2018 - 4:48:05 PM
Claude Touzet. Neural Networks and Q-Learning for Robotics. IJCNN’99 (International Joint Conference (IEEE INNS) on Neural Networks), Jul 1999, Washington DC, United States. ⟨hal-01355056⟩