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CDC
2009
IEEE
172views Control Systems» more  CDC 2009»
15 years 11 months ago
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrish...
ECML
2007
Springer
15 years 10 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
AAAI
2004
15 years 8 months ago
Solving Concurrent Markov Decision Processes
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
Mausam, Daniel S. Weld
ICRA
2010
IEEE
131views Robotics» more  ICRA 2010»
15 years 5 months ago
Optimal coverage of a known arbitrary environment
— The problem of coverage of known space by a mobile robot has many applications. Of particular interest is providing a solution that guarantees the complete coverage of the free...
Raphael Mannadiar, Ioannis M. Rekleitis
LATINCRYPT
2010
15 years 5 months ago
A Lattice-Based Threshold Ring Signature Scheme
In this article, we propose a new lattice-based threshold ring signature scheme, modifying Aguilar’s code-based solution to use the short integer solution (SIS) problem as securi...
Pierre-Louis Cayrel, Richard Lindner, Markus R&uum...