Model-based reinforcement learning with continuous states and actions

ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2008, Pages 19-24

  Deisenroth, Marc P ^a   Rasmussen, Carl E ^a,b   Peters, Jan ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE DYNAMIC PROGRAMMING; APPROXIMATE SOLUTION; CONTINUOUS STATE; GAUSSIAN PROCESS; KNOWN ENVIRONMENTS; MODEL-BASED REINFORCEMENT LEARNING; OPTIMAL POLICIES; TRANSITION DYNAMICS;

NEURAL NETWORKS; OPTIMIZATION;

REINFORCEMENT LEARNING;

EID: 61849106123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Dimitri P. Bertsekas and John N. Tsitsiklis. Neuro-Dynamic Programming. Athena Scientific, Belmont, MA, USA, 1996.
2. Carl E. Rasmussen and Christopher K. I. Williams. Gaussian Processes for Machine Learning. The MIT Press, Cambridge, MA, USA, 2006.
3. Carl E. Rasmussen and Malte Kuss. Gaussian Processes in Reinforcement Learning. In Advances in Neural Information Processing Systems 16, pp. 751-759, June 2004.
4. Yaakov Engel, Shie Mannor, and Ron Meir. Reinforcement Learning with Gaussian Processes. In 22nd International Conference on Machine Learning, pp. 201-208, August 2005.
5. Marc P. Deisenroth, Jan Peters, and Carl E. Rasmussen. Approximate Dynamic Programming with Gaussian Processes. In 27th American Control Conference, June 2008.
6. Christopher G. Atkeson and Stefan Schaal. Robot Learning from Demonstration. In 14th International Conference on Machine Learning, pp. 12-20, July 1997.
7. Carl E. Rasmussen and Zoubin Ghahramani. Bayesian Monte Carlo. In Advances in Neural Information Processing Systems 15, pp. 489-496, 2003.
8. Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, and Geoffrey E. Hinton. Adaptive Mixtures of Local Experts. Neural Computation, 3:79-87, 1991.