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126
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ICML
2005
IEEE
16 years 4 months ago
Learning predictive representations from a history
Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
Eric Wiewiora
142
Voted
IJCAI
2001
15 years 4 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar
140
Voted
GLOBECOM
2006
IEEE
15 years 9 months ago
Adaptive Learning of Transmission Control Policies for MIMO Fading Channels under Delay Constraint
— This paper addresses learning based adaptive resource allocation for wireless MIMO channels with Markovian fading. The problem is posed as Constrained Markov Decision Process w...
Dejan V. Djonin, Vikram Krishnamurthy
100
Voted
ESANN
2004
15 years 4 months ago
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
127
Voted
IUI
2003
ACM
15 years 8 months ago
Interaction tactics for socially intelligent pedagogical agents
Guidebots, or animated pedagogical agents, can enhance interactive learning environments by promoting deeper learning and improve the learner's subjective experience. Guidebo...
W. Lewis Johnson