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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 …
applications. The important concern in the intend of wireless sensor networks is battery …
Calculi of approximation spaces
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 …
Approximation spaces considered in the context of rough sets were introduced by Zdzisław …
Reinforcement learning with approximation spaces
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 …
cooperating agents. The problem considered in this paper is how to guide reinforcement …
Behavioral pattern identification through rough set modelling
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 …
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 …
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 …
modeling of perception processes. We also discuss the role of information systems in …
Approximation spaces in off-policy Monte Carlo learning
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 …
behaviour patterns gleaned from approximation spaces and rough set theory introduced by …
Reinforcement learning by comparing immediate reward
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 …
immediate rewards using a variation of Q-Learning algorithm. Unlike the conventional Q …
Biologically-inspired adaptive learning control strategies: A rough set approach
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 …
called run-and-twiddle (RT) that can be observed in the behaviour of certain biological …
Reinforcement learning in swarms that learn
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 …
variation of the actor critic method. This is made possible by considering behavior patterns of …