Better together: How user experience design can help Agile teams
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
Machine Learning ICS 273A
MDP
Recent Trends in Neural Net Policy Learning
Value and Planning in MDPs. Administrivia Reading 3 assigned today Mahdevan, S., “Representation Policy Iteration”. In Proc. of 21st Conference on Uncertainty.
Expense constrained bidder optimization in repeated auctions Ramki Gummadi Stanford University (Based on joint work with P. Key and A. Proutiere)
1 Introduction to Game Theoretic Multi- Agent Learning Game Theory University of Tehran Spring 2009.
Computational Modeling Lab Wednesday 18 June 2003 Reinforcement Learning an introduction part 3 Ann Nowé [email protected] By Sutton.
Theory of Computations III CS-6800 |SPRING -2014.
Concurrent Markov Decision Processes Mausam, Daniel S. Weld University of Washington Seattle.
