Deep Reinforcement Learning and Adaptive Dynamic Programming

  in Special Issue   Posted on December 24, 2016

Information for the Special Issue

Submission Deadline: Thu 30 Mar 2017
Journal Impact Factor : 6.108
Journal Name : IEEE Transactions on Neural Networks and Learning Systems
Journal Publisher:
Website for the Special Issue: http://cis.ieee.org/images/files/Documents/Transactions/TNNLS/TNNLS_SI_DeepRLADP-CFP.pdf
Journal & Submission Website: http://cis.ieee.org/ieee-transactions-on-neural-networks-and-learning-systems.html

Special Issue Call for Papers:

• New algorithms of deep RL or ADP;
• Theory of deep RL or ADP;
• Deep RL or ADP with transfer learning;
• Deep RL or ADP with advanced search algorithms;
• Multi-agent RL or ADP;
• Hierarchical RL or ADP;
• Event-driven RL or ADP;
• Theoretical foundation of RL or ADP in convergence, stability, robustness, and etc. ;
• Data-driven learning and control;
• Control with advanced machine learning;
• Optimal decision and control of cyber-physical systems;
• Autonomous decision and control using neural structures;
• Brain-like control design and applications;
• New neural network topologies from neurocognitive psychology studies;
• Neurocomputing structures for fast decision and control in dynamic environments;
• Applications in realistic and complicated systems