<html>

<head>
<title>Pawel Cichosz--Publications</title>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>

<body bgcolor="#BBBBBB">

<center>
<h1>My Publications</h1>
</CENTER>

<h1></h1>
<hr>
<h1></h1>

<p>
This page lists my publications, some of which are available for
download and some older ones have been converted to HTML for browsing. Please <a
href="mailto:pcichosz@elka.pw.edu.pl">report</a> any problems with
downloading, previewing, or printing them. I can send hardcopies on <a
href="mailto:pcichosz@elka.pw.edu.pl">request</a>.

<h3>Books</h3>

<ol>

<li> Cichosz, P. (2015). <cite>Data Mining Algorithms: Explained Using R</cite>. Wiley (to appear).<br>

<li> Cichosz, P. (2000, 2007). <cite>Systemy uczące się</cite>. WNT.<br>
<br>

</ol>

<h3>Theses</h3>

<ol>

<li> Cichosz, P. (1997). <cite>Reinforcement Learning by Truncating
Temporal Differences</cite>. PhD Thesis, Department of Electronics and
Information Technology, Warsaw University of Technology.<br> Read the
<a href="abstract.html#PhD">abstract</a>, download <a
href="PhD.ps.gz">gzipped postscipt</a> (1,591,305 bytes, 242
pages).<br>
<br>

<li> Cichosz, P. (1994). <cite>Reinforcement Learning Algorithms Based
on the Methods of Temporal Differences</cite>. Master's Thesis,
Institute of Computer Science, Warsaw University of Technology.<br>
Read the <a href="abstract.html#thesis">abstract</a>, download <a
href="thesis.ps.gz">gzipped postscipt</a> (376,887 bytes, 152
pages).<br>

</ol>

<h3>International Journals</h3>

<ol>

<li> Cichosz, P. & Pawełczak, Ł. (2014). Imitation learning of car
driving skills with decision trees and random
forests. <cite>International Journal of Applied Mathematics and<html>

<head>
<title>Pawel Cichosz--Publications</title>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>

<body bgcolor="#BBBBBB">

<center>
<h1>My Publications</h1>
</CENTER>

<h1></h1>
<hr>
<h1></h1>

<p>
This page lists my publications, some of which are available for
download and some older ones have been converted to HTML for browsing. Please <a
href="mailto:pcichosz@elka.pw.edu.pl">report</a> any problems with
downloading, previewing, or printing them. I can send hardcopies on <a
href="mailto:pcichosz@elka.pw.edu.pl">request</a>.

<h3>Books</h3>

<ol>

<li> Cichosz, P. (2015). <cite>Data Mining Algorithms: Explained Using R</cite>. Wiley (to appear).<br>

<li> Cichosz, P. (2000, 2007). <cite>Systemy uczące się</cite>. WNT.<br>
<br>

</ol>

<h3>Theses</h3>

<ol>

<li> Cichosz, P. (1997). <cite>Reinforcement Learning by Truncating
Temporal Differences</cite>. PhD Thesis, Department of Electronics and
Information Technology, Warsaw University of Technology.<br> Read the
<a href="abstract.html#PhD">abstract</a>, download <a
href="PhD.ps.gz">gzipped postscipt</a> (1,591,305 bytes, 242
pages).<br>
<br>

<li> Cichosz, P. (1994). <cite>Reinforcement Learning Algorithms Based
on the Methods of Temporal Differences</cite>. Master's Thesis,
Institute of Computer Science, Warsaw University of Technology.<br>
Read the <a href="abstract.html#thesis">abstract</a>, download <a
href="thesis.ps.gz">gzipped postscipt</a> (376,887 bytes, 152
pages).<br>

</ol>

<h3>International Journals</h3>

<ol>

<li> Cichosz, P. & Pawełczak, Ł. (2014). Imitation learning of car
driving skills with decision trees and random
forests. <cite>International Journal of Applied Mathematics and
Computer Science</cite>, 24:579-597.<br>
<a href="https://amcs.uz.zgora.pl/?action=paper&paper=775">View on the AMCS website</a>.<br>
<br>

<li> Cichosz, P. (2011). Assessing the quality of classification
models: Performance measures and evaluation procedures. <cite>Central
European Journal of Engineering</cite>, 1:132-158.<br> <a
href="http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.2478/s13531-011-0022-9
">View
on
SpringerLink</a>.<br>
<br>

<li> Cichosz, P. (2000). A forwards view of replacing eligibility
traces for states and state-action pairs. <cite>Mathematical
Algorithms</cite>, 1:283-297.<br> Read the <a
href="abstract.html#ttd-rep">abstract</a>, download <a
href="ttd-rep.ps.gz">gzipped postscipt</a> (78,463 bytes, 22 pages).<br>
<br>

<li> Cichosz, P. (1999). An analysis of experience replay in temporal
difference learning. <cite>Cybernetics and Systems</cite>,
30:341-363.<br> Read the <a
href="abstract.html#ttd-rbtd">abstract</a>, download <a
href="ttd-rbtd.ps.gz">gzipped postscipt</a> (101,770 bytes, 23 pages).<br>
<br>

<li> Cichosz, P. (1999). TD(&lambda;) learning without eligibility
traces: A theoretical analysis. <cite>Journal of Experimental and
Theoretical Artificial Intelligence</cite>, 11:239-263.<br> Read the
<a href="abstract.html#tdl-woet">abstract</a>, download <a
href="tdl-woet.ps.gz">gzipped postscipt</a> (122,280 bytes, 30 pages).<br>
<br>

<li> Cichosz, P. (1996). Delayed reinforcement learning of
multidimensional control actions. <cite>Systems
Analysis-Modelling-Simulation</cite>, 24:233-248.<br> Read the <a
href="abstract.html#drl-mult">abstract</a>.<br>
<br>

<li> Cichosz, P. (1995). Truncating temporal differences: On the
efficient implementation of TD(&lambda;) for reinforcement
learning. <cite>Journal of Artificial Intelligence Research</cite>,
2:287-318.<br> Read the <a href="abstract.html#ttd">abstract</a>,
download <a href="ttd.ps.gz">gzipped postscipt</a> (108,231 bytes, 32
pages), <a href="ttd/ttd.html">browse</a> HTML.<br>
<br>

</ol>

<h3>Polish Journals</h3>

<ol>

<li> Cichosz, P. (1995). Wprowadzenie do systemow uczacych sie ze
wzmocnieniem. <cite>Informatyka</cite>, 4/96.<br>

</ol>

<h3>International Conferences</h3>

<ol>

<li> Cichosz, P. (2018). Anomaly detection in discussion forum posts
using global vectors. In <cite>Proceedings of SPIE 10808</cite>.

<li> Wawrzynski, P., Arabas, J., & Cichosz, P. (2008). Predictive control
for Artificial Intelligence in  computer games. In <cite>Proceedings of the
Tenth International Conference  on Artificial Intelligence and Soft
Computing</cite> (ICAISC-2008). Springer. Read the <a
href="abstract.html#ai-games">abstract</a>, 
view <a
href="http://www.springerlink.com/content/u737730117742303/fulltext.pdf">PDF</a>.<br> 
<br>

<li>Arabas, J. & Cichosz, P. (2006). Search-based view of Artificial
Intelligence. In <cite>Artificial Intelligence Studies</cite>, Academy of
Podlasie.<br>
<br>

<li> Walczak, T. & Cichosz, P. (2006). A distributed learning control
system for elevator groups. In <cite>Proceedings of the Eighth
International Conference on Artificial Intelligence and Soft
Computing</cite> (ICAISC-2008). Springer. Read the <a
href="abstract.html#learn-elevator">abstract</a>, 
view <a
href="http://www.springerlink.com/content/k4463800w2789271/fulltext.pdf">PDF</a>.<br> 
<br>

<li> Cichosz, P. (1997). Integrated learning and planning based on
truncating temporal differences. In <cite>Proceedings of the Ninth
European Conference on Machine Learning</cite> (ECML-97). Springer.<br> Read
the <a href="abstract.html#ttd-plan">abstract</a>, 
view <a
href="http://www.springerlink.com/content/5701827j87v35512/fulltext.pdf">PDF</a>.<br>
<br>

<li> Cichosz, P. (1996). Truncated temporal differences with function
approximation: Successful examples using CMAC. In <cite>Proceedings of
the Thirteenth European Meeting on Cybernetics and Systems
Research</cite> (EMCSR-96). Austrian Society for Cybernetic
Studies.<br> Read the <a href="abstract.html#ttd-cmac">abstract</a>,
download <a href="ttd-cmac.ps.gz">gzipped postscript</a> (185,857
bytes, 6 pages), <a href="ttd-cmac/ttd-cmac.html">browse</a> HTML.<br>
<br>

<li> Cichosz, P. (1996). Truncated temporal differences and sequential
replay: Comparison, integration, and experiments. In
<cite>Proceedings of the Poster Session of the Ninth International
Symposium on Methodologies for Intelligent Systems</cite> (ISMIS-96),
Zakopane, Poland. Oak Ridge Laboratory.<br> Read the <a
href="abstract.html#ttd-sr">abstract</a>, download <a
href="ttd-sr.ps.gz">gzipped postscript</a> (241,608 bytes, 15
pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). Fast and efficient
reinforcement learning with truncated temporal differences. In
<cite>Proceedings of the Twelfth International Conference on Machine
Learning</cite> (ML-95), Tahoe City, California. Morgan Kaufmann.<br>
Read the <a href="abstract.html#fast-rl">abstract</a>, download <a
href="fast-rl.ps.gz">gzipped postscipt</a> (62,179 bytes, 9 pages), <a
href="fast-rl/fast-rl.html">browse</a> HTML.<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). Integrated architectures
for learning, planning, and reacting based on approximating
TD(&lambda;). In <cite>Proceedings of the First International Workshop
on Intelligent Adaptive Systems</cite> (IAS-95), Melbourne Beech,
Florida.<br> Read the <a href="abstract.html#ttdyna">abstract</a>,
download <a href="ttdyna.ps.gz">gzipped postscipt</a> (47,968 bytes,
12 pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). GBQL: A novel
genetics-based reinforcement learning architecture. In
<cite>Proceedings of the Third European Congress on Intelligent
Techniques and Soft Computing</cite> (EUFIT'95), Aachen, Germany.<br>
Read the <a href="abstract.html#gbql1">abstract</a>, download <a
href="gbql1.ps.gz">gzipped postscipt</a> (40,508 bytes, 5 pages).<br>
<br>

<li> Cichosz, P. (1995). Learning multidimensional control actions
from delayed reinforcements. In <cite>Proceedings of the Eighth
International Symposium on System-Modelling-Control</cite> (SMC-8),
Zakopane, Poland.<br> Read the <a
href="abstract.html#multidim">abstract</a>, download <a
href="multidim.ps.gz">gzipped postscipt</a> (43,011 bytes, 6
pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). Towards more efficient
intelligent agents learning from delayed rewards. In <cite>Proceedings
of the IV International Workshop on Intelligent Information
Systems</cite> (WIS'95), Augustow, Poland.<br>
<br>

<li> Seredynski, F., Cichosz, P., & Klebus, G. P. (1995). Learning
classifier systems in multi-agent environments. In <cite>Proceedings
of the First IEE/IEEE International Conference on Genetic Algorithms
in Engineering Systems: Innovations and Applications</cite>
(GALESIA'95), Sheffield, UK.<br> Read the <a
href="abstract.html#lcsmag">abstract</a>, download <a
href="lcsmag.ps.gz">gzipped postscipt</a> (40,937 bytes, 6 pages).<br>

</ol>

<h3>Polish Conferences</h3>

<ol>

<li> Cichosz, P., & Mulawka, J. J. (1996). Faster temporal credit
assignment in learning classifier systems. In <cite>Proceedings of the
First Polish Conference on Evolutionary Algorithms</cite> (KAE-96),
Murzasichle, Poland.<br> Read the <a
href="abstract.html#bblambda">abstract</a>, download <a
href="bblambda.ps.gz">gzipped postscript</a> (47,017 bytes, 10
pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995, in Polish). Uczenie sie
sekwencyjnego podejmowania decyzji w oparciu o opoznione
nagrody. <cite>Materialy Krajowej Konferencji: Analiza Decyzyjna,
Systemy Ekspertowe, Zastosowania Systemow Komputerowych</cite>, IBS
PAN, Warszawa, Polska.<br>
<br>

<li> Mulawka, J. J., & Cichosz, P. (1994, in Polish). Systemy uczace
sie i perspektywy ich zastosowan w dziedzinie
ekonomii. <cite>Materialy Konferencji INFOGRYF'94</cite>, Kolobrzeg,
Polska.<br>

</ol>

<h3>Technical Reports</h3>

<ol>

<li> Seredynski, F., Cichosz, P., & Klebus, G. P. (1995, in
Polish). (CS)LAG: system do symulacji gier uczacych sie
agentow. Technical report 778, Institute of Computer Science, Polish
Academy of Sciences.<br>
<br>

<li> Cichosz, P., Klebus, G. P. (1994). Visual presentation of
inheritance structures: A case study in object oriented
programming. Research report 8/94, Institute of Computer Science,
Warsaw University of Technology.<br>

</ol>

<h1></h1>

<hr>
<center>
<a href="..\index.html">My Home Page</a>
</center>
<hr>

<address>
<a href="mailto:pcichosz@elka.pw.edu.pl">Pawel Cichosz</a>
</address>

</body>
</html>

Computer Science</cite>, 24:579-597.<br>
<a href="https://amcs.uz.zgora.pl/?action=paper&paper=775">View on the AMCS website</a>.<br>
<br>

<li> Cichosz, P. (2011). Assessing the quality of classification
models: Performance measures and evaluation procedures. <cite>Central
European Journal of Engineering</cite>, 1:132-158.<br> <a
href="http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.2478/s13531-011-0022-9
">View
on
SpringerLink</a>.<br>
<br>

<li> Cichosz, P. (2000). A forwards view of replacing eligibility
traces for states and state-action pairs. <cite>Mathematical
Algorithms</cite>, 1:283-297.<br> Read the <a
href="abstract.html#ttd-rep">abstract</a>, download <a
href="ttd-rep.ps.gz">gzipped postscipt</a> (78,463 bytes, 22 pages).<br>
<br>

<li> Cichosz, P. (1999). An analysis of experience replay in temporal
difference learning. <cite>Cybernetics and Systems</cite>,
30:341-363.<br> Read the <a
href="abstract.html#ttd-rbtd">abstract</a>, download <a
href="ttd-rbtd.ps.gz">gzipped postscipt</a> (101,770 bytes, 23 pages).<br>
<br>

<li> Cichosz, P. (1999). TD(&lambda;) learning without eligibility
traces: A theoretical analysis. <cite>Journal of Experimental and
Theoretical Artificial Intelligence</cite>, 11:239-263.<br> Read the
<a href="abstract.html#tdl-woet">abstract</a>, download <a
href="tdl-woet.ps.gz">gzipped postscipt</a> (122,280 bytes, 30 pages).<br>
<br>

<li> Cichosz, P. (1996). Delayed reinforcement learning of
multidimensional control actions. <cite>Systems
Analysis-Modelling-Simulation</cite>, 24:233-248.<br> Read the <a
href="abstract.html#drl-mult">abstract</a>.<br>
<br>

<li> Cichosz, P. (1995). Truncating temporal differences: On the
efficient implementation of TD(&lambda;) for reinforcement
learning. <cite>Journal of Artificial Intelligence Research</cite>,
2:287-318.<br> Read the <a href="abstract.html#ttd">abstract</a>,
download <a href="ttd.ps.gz">gzipped postscipt</a> (108,231 bytes, 32
pages), <a href="ttd/ttd.html">browse</a> HTML.<br>
<br>

</ol>

<h3>Polish Journals</h3>

<ol>

<li> Cichosz, P. (1995). Wprowadzenie do systemow uczacych sie ze
wzmocnieniem. <cite>Informatyka</cite>, 4/96.<br>

</ol>

<h3>International Conferences</h3>

<ol>

<li> Cichosz, P. (2018). Anomaly detection in discussion forum posts
using global vectors. In <cite>Proceedings of SPIE 10808</cite>.

<li> Wawrzynski, P., Arabas, J., & Cichosz, P. (2008). Predictive control
for Artificial Intelligence in  computer games. In <cite>Proceedings of the
Tenth International Conference  on Artificial Intelligence and Soft
Computing</cite> (ICAISC-2008). Springer. Read the <a
href="abstract.html#ai-games">abstract</a>, 
view <a
href="http://www.springerlink.com/content/u737730117742303/fulltext.pdf">PDF</a>.<br> 
<br>

<li>Arabas, J. & Cichosz, P. (2006). Search-based view of Artificial
Intelligence. In <cite>Artificial Intelligence Studies</cite>, Academy of
Podlasie.<br>
<br>

<li> Walczak, T. & Cichosz, P. (2006). A distributed learning control
system for elevator groups. In <cite>Proceedings of the Eighth
International Conference on Artificial Intelligence and Soft
Computing</cite> (ICAISC-2008). Springer. Read the <a
href="abstract.html#learn-elevator">abstract</a>, 
view <a
href="http://www.springerlink.com/content/k4463800w2789271/fulltext.pdf">PDF</a>.<br> 
<br>

<li> Cichosz, P. (1997). Integrated learning and planning based on
truncating temporal differences. In <cite>Proceedings of the Ninth
European Conference on Machine Learning</cite> (ECML-97). Springer.<br> Read
the <a href="abstract.html#ttd-plan">abstract</a>, 
view <a
href="http://www.springerlink.com/content/5701827j87v35512/fulltext.pdf">PDF</a>.<br>
<br>

<li> Cichosz, P. (1996). Truncated temporal differences with function
approximation: Successful examples using CMAC. In <cite>Proceedings of
the Thirteenth European Meeting on Cybernetics and Systems
Research</cite> (EMCSR-96). Austrian Society for Cybernetic
Studies.<br> Read the <a href="abstract.html#ttd-cmac">abstract</a>,
download <a href="ttd-cmac.ps.gz">gzipped postscript</a> (185,857
bytes, 6 pages), <a href="ttd-cmac/ttd-cmac.html">browse</a> HTML.<br>
<br>

<li> Cichosz, P. (1996). Truncated temporal differences and sequential
replay: Comparison, integration, and experiments. In
<cite>Proceedings of the Poster Session of the Ninth International
Symposium on Methodologies for Intelligent Systems</cite> (ISMIS-96),
Zakopane, Poland. Oak Ridge Laboratory.<br> Read the <a
href="abstract.html#ttd-sr">abstract</a>, download <a
href="ttd-sr.ps.gz">gzipped postscript</a> (241,608 bytes, 15
pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). Fast and efficient
reinforcement learning with truncated temporal differences. In
<cite>Proceedings of the Twelfth International Conference on Machine
Learning</cite> (ML-95), Tahoe City, California. Morgan Kaufmann.<br>
Read the <a href="abstract.html#fast-rl">abstract</a>, download <a
href="fast-rl.ps.gz">gzipped postscipt</a> (62,179 bytes, 9 pages), <a
href="fast-rl/fast-rl.html">browse</a> HTML.<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). Integrated architectures
for learning, planning, and reacting based on approximating
TD(&lambda;). In <cite>Proceedings of the First International Workshop
on Intelligent Adaptive Systems</cite> (IAS-95), Melbourne Beech,
Florida.<br> Read the <a href="abstract.html#ttdyna">abstract</a>,
download <a href="ttdyna.ps.gz">gzipped postscipt</a> (47,968 bytes,
12 pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). GBQL: A novel
genetics-based reinforcement learning architecture. In
<cite>Proceedings of the Third European Congress on Intelligent
Techniques and Soft Computing</cite> (EUFIT'95), Aachen, Germany.<br>
Read the <a href="abstract.html#gbql1">abstract</a>, download <a
href="gbql1.ps.gz">gzipped postscipt</a> (40,508 bytes, 5 pages).<br>
<br>

<li> Cichosz, P. (1995). Learning multidimensional control actions
from delayed reinforcements. In <cite>Proceedings of the Eighth
International Symposium on System-Modelling-Control</cite> (SMC-8),
Zakopane, Poland.<br> Read the <a
href="abstract.html#multidim">abstract</a>, download <a
href="multidim.ps.gz">gzipped postscipt</a> (43,011 bytes, 6
pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995). Towards more efficient
intelligent agents learning from delayed rewards. In <cite>Proceedings
of the IV International Workshop on Intelligent Information
Systems</cite> (WIS'95), Augustow, Poland.<br>
<br>

<li> Seredynski, F., Cichosz, P., & Klebus, G. P. (1995). Learning
classifier systems in multi-agent environments. In <cite>Proceedings
of the First IEE/IEEE International Conference on Genetic Algorithms
in Engineering Systems: Innovations and Applications</cite>
(GALESIA'95), Sheffield, UK.<br> Read the <a
href="abstract.html#lcsmag">abstract</a>, download <a
href="lcsmag.ps.gz">gzipped postscipt</a> (40,937 bytes, 6 pages).<br>

</ol>

<h3>Polish Conferences</h3>

<ol>

<li> Cichosz, P., & Mulawka, J. J. (1996). Faster temporal credit
assignment in learning classifier systems. In <cite>Proceedings of the
First Polish Conference on Evolutionary Algorithms</cite> (KAE-96),
Murzasichle, Poland.<br> Read the <a
href="abstract.html#bblambda">abstract</a>, download <a
href="bblambda.ps.gz">gzipped postscript</a> (47,017 bytes, 10
pages).<br>
<br>

<li> Cichosz, P., & Mulawka, J. J. (1995, in Polish). Uczenie sie
sekwencyjnego podejmowania decyzji w oparciu o opoznione
nagrody. <cite>Materialy Krajowej Konferencji: Analiza Decyzyjna,
Systemy Ekspertowe, Zastosowania Systemow Komputerowych</cite>, IBS
PAN, Warszawa, Polska.<br>
<br>

<li> Mulawka, J. J., & Cichosz, P. (1994, in Polish). Systemy uczace
sie i perspektywy ich zastosowan w dziedzinie
ekonomii. <cite>Materialy Konferencji INFOGRYF'94</cite>, Kolobrzeg,
Polska.<br>

</ol>

<h3>Technical Reports</h3>

<ol>

<li> Seredynski, F., Cichosz, P., & Klebus, G. P. (1995, in
Polish). (CS)LAG: system do symulacji gier uczacych sie
agentow. Technical report 778, Institute of Computer Science, Polish
Academy of Sciences.<br>
<br>

<li> Cichosz, P., Klebus, G. P. (1994). Visual presentation of
inheritance structures: A case study in object oriented
programming. Research report 8/94, Institute of Computer Science,
Warsaw University of Technology.<br>

</ol>

<h1></h1>

<hr>
<center>
<a href="..\index.html">My Home Page</a>
</center>
<hr>

<address>
<a href="mailto:pcichosz@elka.pw.edu.pl">Pawel Cichosz</a>
</address>

</body>
</html>