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ISCC
2000
IEEE
104views Communications» more  ISCC 2000»
15 years 2 months ago
Dynamic Routing and Wavelength Assignment Using First Policy Iteration
With standard assumptions the routing and wavelength assignment problem (RWA) can be viewed as a Markov Decision Process (MDP). The problem, however, defies an exact solution bec...
Esa Hyytiä, Jorma T. Virtamo
WINET
2010
98views more  WINET 2010»
14 years 8 months ago
A mobility-based load control scheme in Hierarchical Mobile IPv6 networks
By introducing a mobility anchor point (MAP), Hierarchical Mobile IPv6 (HMIPv6) reduces the signaling overhead and handoff latency associated with Mobile IPv6. In this paper, we pr...
Sangheon Pack, Taekyoung Kwon, Yanghee Choi
ICML
2006
IEEE
15 years 10 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto
IJCAI
2007
14 years 11 months ago
A Hybridized Planner for Stochastic Domains
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Mausam, Piergiorgio Bertoli, Daniel S. Weld
FLAIRS
2001
14 years 11 months ago
Probabilistic Planning for Behavior-Based Robots
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Amin Atrash, Sven Koenig