258 search results - page 40 / 52 » Continuous Capacities on Continuous State Spaces |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
SODA
2008
ACM
13 years 10 months ago
2008
ACM
We analyze several distributed, continuous time protocols for a fair allocation of bandwidths to flows in a network (or resources to agents). Our protocols converge to an allocati...
QEST
2005
IEEE
14 years 2 months ago
2005
IEEE
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
HICSS
2006
IEEE
14 years 2 months ago
2006
IEEE
Dynamic technology-driven circumstances fortify academic librarians’ reconsideration of their professional purposes, processes and relationships. In response, California Polytec...