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<p><span style="font-size:9.5pt;font-family:"Cambria","serif";color:#1F497D">Dear All,<o:p></o:p></span></p>
<p><span style="font-size:9.5pt;font-family:"Cambria","serif";color:#1F497D">We are
</span><span style="font-size:9.5pt;font-family:"Cambria","serif";color:#1F497D">organizing a special session in the ranked A conference of IJCNN(International Joint Conference of Neural Networks), the call can be found below. I would like to encourage relevant
 work to be submitted to this important </span><span style="font-size:9.5pt;font-family:"Cambria","serif";color:#1F497D">venue</span><span style="font-size:9.5pt;font-family:"Cambria","serif";color:#1F497D">.<o:p></o:p></span></p>
<p align="center" style="text-align:center"><b><span lang="EN-AU" style="font-size:16.0pt;font-family:"Cambria","serif";color:#0070C0">The World Congress on Computational Intelligence (WCCI2016)</span></b><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p align="center" style="text-align:center;background-image:initial;background-repeat:initial">
<b><span lang="EN-AU" style="font-size:11.0pt;font-family:"Cambria","serif";color:black">July 25-29, 2016</span></b><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p align="center" style="text-align:center;background-image:initial;background-repeat:initial">
<b><span lang="EN-AU" style="font-size:14.0pt;font-family:"Cambria","serif";color:#C00000">Special Session (IJCNN 44)</span></b><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p align="center" style="text-align:center;background-image:initial;background-repeat:initial">
<b><span lang="EN-AU" style="font-size:15.0pt;font-family:"Cambria","serif";color:#C00000;letter-spacing:1.0pt">“Deep and Reinforcement Learning Models”</span></b><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify;background-image:initial;background-repeat:initial">
<span style="font-family:"Cambria","serif";color:black">Deep Learning has been under the focus of neural network research and industrial communities due to its proven ability to scale well into difficult problems and due to its performance breakthroughs over
 other architectural and learning techniques in important benchmarking problems. This was mainly in the form of improved data representation in supervised learning tasks. On the other hand, Reinforcement learning (RL) is considered the model of choice for problems
 that involve learning from interaction, where the target is to optimize a long term control strategy or to learn to formulate an optimal policy. Typically these applications involve processing a stream of data coming from different sources, ranging from central
 massive databases to pervasive smart sensors.</span><span style="font-family:"Cambria","serif";color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify"><b><span style="font-family:"Cambria","serif"">Open-questions</span></b><span style="font-family:"Cambria","serif""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify;background-image:initial;background-repeat:initial">
<span style="font-family:"Cambria","serif";color:black">RL does not lend itself naturally to deep learning and currently there is no uniformed approach to combine deep learning with reinforcement learning despite good attempts. Examples of important open questions
 are: How to make the state-action learning process deep? And how to make the architecture of an RL system appropriate to deep learning without compromising the interactivity of the system? Although recently there have been important advances in dealing with
 these issues, they are still scattered and with no overarching framework that promote them in a well-defined and natural way.</span><span style="font-family:"Cambria","serif";color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto"><b><span style="font-family:"Cambria","serif"">Aim and objectives</span></b><span style="font-family:"Cambria","serif""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify;background-image:initial;background-repeat:initial">
<span style="font-family:"Cambria","serif";color:black">This special session aims at providing a unique platform for researchers from Deep Learning and Reinforcement Learning communities to share their research experience towards a unified Deep Reinforcement
 Learning (DRL) framework in order to allow this important interdisciplinary branch to take-off on solid grounds. In addition to the above open-questions, fundamental questions are bound to be addressed; for example the benefits and drawbacks of methods to
 combine RL and DL, or how deep DL can be infused into RL? While at the other end, pragmatic questions should be addressed; for example how to harmonize both frameworks to effectively serve on-line big and streamed action data processing application?</span><span style="font-family:"Cambria","serif";color:#1F497D">
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify">Contribution is invited for deep learning, reinforcement learning and deep reinforcement learning models.<o:p></o:p></p>
<p class="MsoNormal" style="text-align:justify"><o:p> </o:p></p>
<div>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify"><b><span style="font-family:"Cambria","serif"">Scope and topics</span></b><span style="font-family:"Cambria","serif""><o:p></o:p></span></p>
</div>
<div>
<p class="MsoListParagraphCxSpFirst" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2;background-image:initial;background-repeat:initial">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">1.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Novel Deep and RL Neural Architectures<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">2.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Adaptation of existing RL Techniques for Deep Learning
<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">3.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Optimization and convergence proofs for DRL algorithms
<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">4.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Deeply Hierarchical RL<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">5.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Deep and/or RL architecture and algorithms for Control<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">6.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Deep and/or RL architecture and algorithms for Robotics<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">7.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Deep and/or RL architecture and algorithms for Time Series<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">8.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Deep and/or RL architecture and algorithms for Big Streamed Data Processing<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:12.0pt;line-height:115%"><span style="mso-list:Ignore">9.<span style="font:7.0pt "Times New Roman"">     
</span></span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Deep and/or RL architecture and algorithms for Optimizing Governmental Policy
<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpLast" style="text-indent:-18.0pt;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="mso-list:Ignore">10.<span style="font:7.0pt "Times New Roman"">  
</span></span><![endif]><span style="font-size:12.0pt;line-height:115%">Other Deep and/or RL applications</span><o:p></o:p></p>
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<span style="font-size:11.0pt;font-family:"Cambria","serif";mso-fareast-language:EN-GB"><br clear="all" style="page-break-before:always">
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<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify"><b><span style="font-family:"Cambria","serif"">Paper submission:</span></b><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:18.0pt;text-align:justify;background-image:initial;background-repeat:initial">
<span style="font-family:"Cambria","serif";color:black">Potential authors may submit their manuscripts for presentation consideration through WCCI2016 submission system. All the submissions will go through peer review. Details on manuscript submission can be
 found from </span><span style="font-family:"Cambria","serif""><a href="http://www.wcci2016.org/submission.php" target="_blank">http://www.wcci2016.org/submission.php</a></span><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify;background-image:initial;background-repeat:initial">
<b><span style="font-family:"Cambria","serif"">Important dates:</span></b><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:9.5pt;line-height:115%;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]>Paper submission deadline:                                                               <span style="color:#1F497D">       
</span><b>January 31, 2016</b><span style="font-size:9.5pt;line-height:115%"><o:p></o:p></span></p>
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</span></span></span><![endif]>Notification of acceptance:                                                                <span style="color:#1F497D">       
</span>March 15, 2016<span style="font-size:9.5pt;line-height:115%"><o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:9.5pt;line-height:115%;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">        
</span></span></span><![endif]>Final paper submission and early registration deadline:              April 15, 2016<span style="font-size:9.5pt;line-height:115%"><o:p></o:p></span></p>
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<span style="font-family:"Cambria","serif"">Thank you in advance for your participation</span><span style="font-size:9.5pt;font-family:"Cambria","serif";color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify"><span style="font-family:"Cambria","serif"">Yours sincerely,</span><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;text-align:justify;background-image:initial;background-repeat:initial">
<span style="font-family:"Cambria","serif"">Abdulrahman Altahhan, Coventry University, UK,
</span><span class="MsoHyperlink"><a href="mailto:ab8556@coventry.ac.uk">ab8556@coventry.ac.uk</a>
</span><span style="font-size:9.5pt;font-family:"Cambria","serif""><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Cambria","serif""> <br>
Vasile Palade, Coventry University, UK, <a href="mailto:vpalade453@gmail.com" target="_blank">vpalade453@gmail.com</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D;mso-fareast-language:EN-US">_______________________________<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Dr Abdulrahman Altahhan<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Lecturer in Computer Science<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Course Director for MSc in Data Science<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">School of Computing, Electronics and Maths<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Faculty of Engineering and Computing<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Coventry University,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Coventry CV1 5FB<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">+44 (0) 2477653088<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Room EC4 22<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
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<p style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;" data-mce-style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;"><br></p><p style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;" data-mce-style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;"><br data-mce-bogus="1"></p><p style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;" data-mce-style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;"><br></p><p style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;" data-mce-style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;">University of the Year 2015</p><p style="margin: 4px 0; color: #0080d4; font-family: 'Arial','sans-serif'; font-size: 12px; line-height: 16px;" data-mce-style="margin: 4px 0; color: #0080d4; font-family: 'Arial','sans-serif'; font-size: 12px; line-height: 16px;">Source: Times Higher Education Awards 2015</p><p style="margin: 4px 0; color: #0080d4; font-family: 'Arial','sans-serif'; font-size: 12px; line-height: 16px;" data-mce-style="margin: 4px 0; color: #0080d4; font-family: 'Arial','sans-serif'; font-size: 12px; line-height: 16px;"><br></p><p style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;" data-mce-style="color: #0080d4; font-family: 'Arial', 'sans-serif'; font-size: 18px; line-height: 20px; margin: 0; font-weight: bold;">Modern University of the Year<br> 2014 | 2015 | 2016</p><p style="margin: 4px 0; color: #0080d4; font-family: 'Arial','sans-serif'; font-size: 12px; line-height: 16px;" data-mce-style="margin: 4px 0; color: #0080d4; font-family: 'Arial','sans-serif'; font-size: 12px; line-height: 16px;">Source: The Times and The Sunday Times Good University Guide 2014, 2015, 2016</p><p style="font-family: 'Arial', 'sans-serif'; font-size: 6px; line-height: 6px;" data-mce-style="font-family: 'Arial', 'sans-serif'; font-size: 6px; line-height: 6px;"> </p><p style="margin: 20px 0 0 0; line-height: 11px; font-family: 'Arial', 'sans-serif'; font-size: 9px;" data-mce-style="margin: 20px 0 0 0; line-height: 11px; font-family: 'Arial', 'sans-serif'; font-size: 9px;">NOTICE <br> <br> This message and any files transmitted with it is intended for the addressee only and may contain information that is confidential or privileged. Unauthorised use is strictly prohibited. If you are not the addressee, you should not read, copy, disclose or otherwise use this message, except for the purpose of delivery to the addressee. <br> <br> Any views or opinions expressed within this e-mail are those of the author and do not necessarily represent those of Coventry University.</p></body>
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