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» On the Complexity of Function Learning
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ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
15 years 11 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
ICML
2005
IEEE
16 years 5 months ago
Finite time bounds for sampling based fitted value iteration
In this paper we consider sampling based fitted value iteration for discounted, large (possibly infinite) state space, finite action Markovian Decision Problems where only a gener...
Csaba Szepesvári, Rémi Munos
ESANN
2004
15 years 6 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
ECML
2000
Springer
15 years 9 months ago
Layered Learning
We examine how a network of many knowledge layers can be constructed in an on-line manner, such that the learned units represent building blocks of knowledge that serve to compres...
Peter Stone, Manuela M. Veloso
CEC
2005
IEEE
15 years 6 months ago
A note on the population based incremental learning with infinite population size
In this paper, we study the dynamical properties of the population based incremental learning (PBIL) algorithm when it uses truncation, proportional, and Boltzmann selection schema...
Reza Rastegar, Mohammad Reza Meybodi