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Conference Publications
Workshop Papers
Tutorials
Invited Talks
Technical Reports

Conference Publications:

2007:

  • Mahadevan, S., "Adaptive Mesh Compression in 3D Computer Graphics Using Multiresolution Manifold Learning" , International Conference on Machine Learning (ICML), 2007, June 20-24, 2007, Corvallis, Oregon. pdf

  • Johns, J. and Mahadevan, S., "Constructing Basis Functions from Directed Graphs for Value Function Approximation" , International Conference on Machine Learning (ICML), 2007, June 20-24, 2007, Corvallis, Oregon. pdf

  • Osentoski, S. and Mahadevan, S., "Learning State-Action Basis Functions for Hierarchical MDPs" , International Conference on Machine Learning (ICML), 2007, June 20-24, 2007, Corvallis, Oregon.pdf

  • Johns, J., Mahadevan, S., and Wang, C. "Compact Spectral Bases for Value Function Approximation using Kronecker Factorization", National Conference on Artificial Intelligence (AAAI), July 22-26,2007, Vancouver, Canada. pdf


  • 2006:

  • Mahadevan, S. and Maggioni, M., "Value Function Approximation using Diffusion Wavelets and Laplacian Eigenfunctions Neural Information Processing Systems (NIPS), MIT Press, 2006 pdf

  • Maggioni, M. and Mahadevan, S., "Fast Direct Policy Evaluation using Multiscale Analysis of Markov Diffusion Processes", Proceedings of the Twenty Third International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, June 2006 pdf

  • Mahadevan, S., Maggioni, M., Ferguson, K., and Osentoski., S., "Learning Representation and Control In Continuous Markov Decision Processes", Proceedings of The 21st National Conference on Artificial Intelligence (AAAI-06), Boston, MA, July 16-20, 2006 pdf

  • 2005:

  • Mahadevan, S., "Samuel Meets Amarel: Automating Value Function Approximation using Global State Space Analysis", Proceedings of the National Conference on Artificial Intelligence AAAI05, Pittsburgh, PA, July 9-13, 2005 pdf

  • Mahadevan, S., "Representation Policy Iteration", Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence UAI05, Edinburgh, Scotland, July 26-29, 2005 pdf

  • Mahadevan, S., "Proto-Value Functions: Developmental Reinforcement Learning", Proceedings of the International Conference on Machine Learning ICML05, Bonn, Germany, August 7-13, 2005 pdf

  • Workshop Papers:

  • Ferguson, K. and Mahadevan, S., "Proto-transfer Learning in Markov Decision Processes Using Spectral Methods", Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, Pittsburgh, PA, June 2006 pdf


  • Tutorials:

    2006:

  • Tutorial at ICML 2006


  • Invited Talks

    2005:

  • AAAI Invited Talk


  • Technical Reports:

    2006

  • Mahadevan, S. and Maggiono, M., "Proto-Value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes", University of Massachusetts, Department of Computer Science Technical Report TR-2006-35, 2006 pdf

  • Maggiono, M. and Mahadevan, S., "A Multiscale Framework For Markov Decision Processes using Diffusion Wavelets", University of Massachusetts, Department of Computer Science Technical Report TR-2006-36, 2006 pdf


  • 2005:

  • Mahadevan, S. and Maggioni, M., "Value Function Approximation using Diffusion Wavelets and Laplacian Eigenfunctions", University of Massachusetts, Department of Computer Science Technical Report TR-2005-38, 2005 pdf

  • Maggioni, M. and Mahadevan, S., "Fast Direct Policy Evaluation Using Multiscale Markov Diffusion Processes", University of Massachusetts, Department of Computer Science Technical Report TR-2005-39, 2005 pdf


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