Resources: hybrid reinforcement learning

Hybrid Reinforcement Learning Resources:

• Hybrid Systems Resources
• Hybrid Knowledge Representation and Reasoning
• Rich Sutton's reinforcement learning FAQ page (or a copy here, or here )

Summaries of Hybrid Reinforcement Learning:

• R. Sun, Supplementing neural reinforcement learning with symbolic methods. In: S. Wermter and R. Sun (eds.), Hybrid Neural Systems, pp.333-347. Springer-Verlag, Berlin. 2000.
• R. Sun, T. Peterson, C. Sessions, The extraction of planning knowledge from reinforcement learning neural networks. In: Proceedings of WIRN'2001. Springer-Verlag, Heidelberg, Germany. 2001.

Other Hybrid Reinforcement Learning Publications:

• R. Sun, P. Slusarz, and C. Terry, The interaction of the explicit and the implicit in skill learning: A dual-process approach . Psychological Review, Vol.112, No.1, pp.159-192. 2005.
• R. Sun and D. Qi, MARLBS: Team cooperation through bidding . International Journal of Computational Intelligence Research, Vol.1, No.1, pp.42-58. 2005.
• D. Qi and R. Sun, Learning to cooperate in solving the traveling salesman problem. International Journal of Neural Systems, Vol.15, No.1&2, pp.151-162. 2005.
• R. Sun and X. Zhang, Top-down versus bottom-up learning in cognitive skill acquisition . Cognitive Systems Research, Vol.5, No.1, pp.63-89, March 2004. [Elsevier-formatted PDF]
• D. Qi and R. Sun, A multi-agent system integrating reinforcement learning, bidding and genetic algorithms. Web Intelligence and Agent Systems, Vol.1, No.3-4, pp.187-202. 2003.
• R. Sun, E. Merrill, and T. Peterson, From implicit skills to explicit knowledge: A bottom-up model of skill learning. Cognitive Science, Vol.25, No.2, pp.203-244. 2001. [Elsevier-formatted PDF]
• R. Sun and C. Sessions, Learning plans without a priori knowledge. Adaptive Behavior, Vol.8, No.3/4, pp.225-253. 2000. [formatted PDF]
• R. Sun and C. Sessions, Self-segmentation of sequences: Automatic formation of hierarchies of sequential behaviors. IEEE Transactions on Systems, Man, and Cybernetics: Part B Cybernetics, Vol.30, No.3, pp.403-418. 2000. [PDF]
• R. Sun and T. Peterson, Multi-agent reinforcement learning: Weighting and partitioning. Neural Networks, Vol.12, No.4-5. pp.127-153. 1999. [Elsevier-formatted PDF]
• R. Sun, T. Peterson, and E. Merrill, A hybrid architecture for situated learning of reactive sequential decision making. Applied Intelligence, Vol.11, pp.109-127. 1999.
• R. Sun and T. Peterson, Autonomous learning of sequential tasks: Experiments and analyses. IEEE Transactions on Neural Networks, Vol.9, No.6, pp.1217-1234. November, 1998.
• R. Sun and T. Peterson, Some experiments with a hybrid model for learning sequential decision making. Information Sciences. vol.111, pp.83-107. 1998.
• R. Sun, Learning, action, and consciousness: A hybrid approach towards modeling consciousness. Neural Networks, special issue on consciousness. 10 (7), pp.1317-1331. 1997. [Elsevier-formatted PDF]

Go to:

Prof. Ron Sun's Homepage