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GLOBECOM
2010
IEEE
15 years 1 months ago
Adaptive Modulation in Wireless Networks with Smoothed Flow Utility
We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider ...
Ekine Akuiyibo, Stephen P. Boyd, Daniel O'Neill
ECML
2005
Springer
15 years 9 months ago
Natural Actor-Critic
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
Jan Peters, Sethu Vijayakumar, Stefan Schaal
DAC
2003
ACM
16 years 4 months ago
Extending the lifetime of a network of battery-powered mobile devices by remote processing: a markovian decision-based approach
This paper addresses the problem of extending the lifetime of a batterypowered mobile host in a client-server wireless network by using task migration and remote processing. This ...
Peng Rong, Massoud Pedram
ATAL
2007
Springer
15 years 9 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
JMLR
2010
148views more  JMLR 2010»
14 years 10 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal