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ECML
2004
Springer
16 years 18 days ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
ISSRE
2000
IEEE
15 years 11 months ago
Testing Nondeterminate Systems
The behavior of nondeterminate systems can be hard to predict, since similar inputs at different times can generate different outputs. In other words, the behavior seen during tes...
Tim Menzies, Bojan Cukic, Harshinder Singh, John D...
POS
1998
Springer
15 years 11 months ago
Optimizing the Read and Write Barriers for Orthogonal Persistence
Persistent programming languages manage volatile memory as a cache for stable storage, imposing a read barrier on operations that access the cache, and a write barrier on updates ...
Antony L. Hosking, Nathaniel Nystrom, Quintin I. C...
SIGCOMM
1991
ACM
15 years 10 months ago
A Control-Theoretic Approach to Flow Control
This paper presents a control-theoretic approach to reactive flow control in networks that do not reserve bandwidth. We assume a round-robin-like queue service discipline in the o...
Srinivasan Keshav
TCOM
2008
74views more  TCOM 2008»
15 years 7 months ago
Stability of a frame-based oldest-cell-first maximal weight matching algorithm
Abstract-- Input-queued cell switches employing the oldestcell-first (OCF) policy have been shown to yield low mean delay characteristics. Moreover, it has been proven that OCF is ...
Xike Li, Itamar Elhanany