A tailored Q-Learning for routing in wireless sensor networks

VK Sharma, SSP Shukla, V Singh - 2012 2nd IEEE …, 2012 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) have major importance in distributed sensing
applications. The important concern in the intend of wireless sensor networks is battery …

Calculi of approximation spaces

A Skowron, J Stepaniuk, J Peters… - Fundamenta …, 2006 - content.iospress.com
This paper considers the problem of how to establish calculi of approximation spaces.
Approximation spaces considered in the context of rough sets were introduced by Zdzisław …

Reinforcement learning with approximation spaces

JF Peters, C Henry - Fundamenta Informaticae, 2006 - content.iospress.com
This paper introduces a rough set approach to reinforcement learning by swarms of
cooperating agents. The problem considered in this paper is how to guide reinforcement …

Behavioral pattern identification through rough set modelling

JG Bazan, JF Peters, A Skowron - Rough Sets, Fuzzy Sets, Data Mining …, 2005 - Springer
This paper introduces an approach to behavioral pattern identification as a part of a study of
temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisław …

Interactive information systems: Toward perception based computing

A Skowron, P Wasilewski - Theoretical Computer Science, 2012 - Elsevier
We discuss the role of interactions in the modeling of perception processes. Interactive
information systems, introduced in this paper, play the important role in this modeling …

Introduction to perception based computing

A Skowron, P Wasilewski - Emerging Paradigms in Machine Learning, 2013 - Springer
We present a general scheme of interaction and we discuss the role of interactions in
modeling of perception processes. We also discuss the role of information systems in …

Approximation spaces in off-policy Monte Carlo learning

JF Peters, C Henry - Engineering applications of artificial intelligence, 2007 - Elsevier
This paper introduces an approach to off-policy Monte Carlo (MC) learning guided by
behaviour patterns gleaned from approximation spaces and rough set theory introduced by …

Reinforcement learning by comparing immediate reward

P Pandey, D Pandey, S Kumar - arxiv preprint arxiv:1009.2566, 2010 - arxiv.org
This paper introduces an approach to Reinforcement Learning Algorithm by comparing their
immediate rewards using a variation of Q-Learning algorithm. Unlike the conventional Q …

Biologically-inspired adaptive learning control strategies: A rough set approach

JF Peters, C Henry… - International Journal of …, 2007 - content.iospress.com
The problem considered in this paper is how to mimic the adaptive learning control strategy
called run-and-twiddle (RT) that can be observed in the behaviour of certain biological …

Reinforcement learning in swarms that learn

JF Peters, C Henry, S Ramanna - IEEE/WIC/ACM International …, 2005 - ieeexplore.ieee.org
This paper introduces an approach to reinforcement learning by cooperating agents using a
variation of the actor critic method. This is made possible by considering behavior patterns of …