Hybrid coordination of reinforcement learning-based behaviors for AUV control

IEEE International Conference on Intelligent Robots and Systems

Volumn 3, Issue , 2001, Pages 1410-1415

  Carreras, M ^a   Batlle, J ^a   Ridao, P ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FEEDFORWARD NEURAL NETWORKS; INTELLIGENT ROBOTS; MOBILE ROBOTS; ONLINE SYSTEMS; OPTIMIZATION; ROBOTICS; ROBUSTNESS (CONTROL SYSTEMS); SUBMERSIBLES; THREE DIMENSIONAL;

AUTONOMOUS UNDERWATER VEHICLE; BEHAVIOR BASED CONTROL ARCHITECTURES; CONTINUOUS Q-LEARNING; HYBRID COORDINATION METHOD; REINFORCEMENT LEARNING;

ROBOT LEARNING;

EID: 0035559125     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

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11. Measuring the effectiveness of reinforcement learning for behavior-based robots
12. Neural reinforcement learning for behaviour synthesis
13. Residual algorithms: Reinforcement learning with function approximation
14. Q-learning in continuous state and action spaces
15. Continuous valued Q-learning for vision-guided behavior acquisition
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17. O2CA2: A new hybrid control architecture for a low cost AUV