<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://albertometelli.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://albertometelli.github.io/" rel="alternate" type="text/html" /><updated>2026-06-04T14:53:53+02:00</updated><id>https://albertometelli.github.io/feed.xml</id><title type="html">Alberto Maria Metelli, Ph.D.</title><subtitle>personal description</subtitle><author><name>Alberto Maria Metelli</name></author><entry><title type="html">Premio NeoDottori di Ricerca &quot;Marco Cadoli&quot; 2021</title><link href="https://albertometelli.github.io/posts/2021/12/aixia/" rel="alternate" type="text/html" title="Premio NeoDottori di Ricerca &quot;Marco Cadoli&quot; 2021" /><published>2021-12-02T00:00:00+01:00</published><updated>2021-12-02T00:00:00+01:00</updated><id>https://albertometelli.github.io/posts/2021/12/aixia</id><content type="html" xml:base="https://albertometelli.github.io/posts/2021/12/aixia/"><![CDATA[<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Honored that my Ph.D. thesis was awarded with the &quot;Premio NeoDottori di Ricerca &quot;Marco Cadoli&quot; 2021&quot;, by <a href="https://twitter.com/AI_x_IA?ref_src=twsrc%5Etfw">@AI_x_IA</a>, for the best Italian doctoral thesis in <a href="https://twitter.com/hashtag/AI?src=hash&amp;ref_src=twsrc%5Etfw">#AI</a>. <br /><br />This is the result of three beautiful years of research at <a href="https://twitter.com/polimi?ref_src=twsrc%5Etfw">@polimi</a> under the supervision of Marcello Restelli. <a href="https://t.co/5IaV9Lp4lB">pic.twitter.com/5IaV9Lp4lB</a></p>&mdash; Alberto Maria Metelli (@alberto_metelli) <a href="https://twitter.com/alberto_metelli/status/1466497946355216384?ref_src=twsrc%5Etfw">December 2, 2021</a></blockquote>
<script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>]]></content><author><name>Alberto Maria Metelli</name></author><category term="AIxIA" /><summary type="html"><![CDATA[Honored that my Ph.D. thesis was awarded with the &quot;Premio NeoDottori di Ricerca &quot;Marco Cadoli&quot; 2021&quot;, by @AI_x_IA, for the best Italian doctoral thesis in #AI. This is the result of three beautiful years of research at @polimi under the supervision of Marcello Restelli. pic.twitter.com/5IaV9Lp4lB&mdash; Alberto Maria Metelli (@alberto_metelli) December 2, 2021]]></summary></entry><entry><title type="html">3 Papers Accepted at AAAI 2023</title><link href="https://albertometelli.github.io/posts/2022/11/aaai2023/" rel="alternate" type="text/html" title="3 Papers Accepted at AAAI 2023" /><published>2021-12-02T00:00:00+01:00</published><updated>2021-12-02T00:00:00+01:00</updated><id>https://albertometelli.github.io/posts/2022/11/aaai2023</id><content type="html" xml:base="https://albertometelli.github.io/posts/2022/11/aaai2023/"><![CDATA[<blockquote class="twitter-tweet"><p lang="en" dir="ltr">📢3 papers accepted at <a href="https://twitter.com/hashtag/AAAI2023?src=hash&amp;ref_src=twsrc%5Etfw">#AAAI2023</a>!<br /><br />Congrats to my amazing collaborators: <a href="https://twitter.com/AmarildoLikmeta?ref_src=twsrc%5Etfw">@AmarildoLikmeta</a>, Luca Sabbioni, <a href="https://twitter.com/l0llo_bix?ref_src=twsrc%5Etfw">@l0llo_bix</a>, Davide Maran, <a href="https://twitter.com/matte_esse?ref_src=twsrc%5Etfw">@matte_esse</a>, Luca Al Daire, and Marcello Restelli!</p>&mdash; Alberto Maria Metelli (@alberto_metelli) <a href="https://twitter.com/alberto_metelli/status/1593936545953751040?ref_src=twsrc%5Etfw">November 19, 2022</a></blockquote>
<script async="" src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>]]></content><author><name>Alberto Maria Metelli</name></author><category term="AAAI 2023" /><summary type="html"><![CDATA[📢3 papers accepted at #AAAI2023!Congrats to my amazing collaborators: @AmarildoLikmeta, Luca Sabbioni, @l0llo_bix, Davide Maran, @matte_esse, Luca Al Daire, and Marcello Restelli!&mdash; Alberto Maria Metelli (@alberto_metelli) November 19, 2022]]></summary></entry><entry><title type="html">One Paper accepted at AAAI 2021</title><link href="https://albertometelli.github.io/posts/2020/12/aaai2021/" rel="alternate" type="text/html" title="One Paper accepted at AAAI 2021" /><published>2020-12-02T00:00:00+01:00</published><updated>2020-12-02T00:00:00+01:00</updated><id>https://albertometelli.github.io/posts/2020/12/aaai2021</id><content type="html" xml:base="https://albertometelli.github.io/posts/2020/12/aaai2021/"><![CDATA[<p>Our paper <b><a href="/publication/0011-2021-Policy-Optimization-as-Online-Learning-with-Mediator-Feedback">Policy Optimization as Online Learning with Mediator Feedback</a></b> has been accepted for publication in AAAI 2021!</p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="AAAI 2021" /><summary type="html"><![CDATA[Our paper Policy Optimization as Online Learning with Mediator Feedback has been accepted for publication in AAAI 2021!]]></summary></entry><entry><title type="html">One Paper accepted for JMLR</title><link href="https://albertometelli.github.io/posts/2020/01/jmlr2020/" rel="alternate" type="text/html" title="One Paper accepted for JMLR" /><published>2020-07-06T00:00:00+02:00</published><updated>2020-07-06T00:00:00+02:00</updated><id>https://albertometelli.github.io/posts/2020/01/jmlr2020</id><content type="html" xml:base="https://albertometelli.github.io/posts/2020/01/jmlr2020/"><![CDATA[<p>Our paper <b><a href="/publication/0102-2020-Importance-Sampling-Techniques-for-Policy-Optimization">Importance Sampling Techniques for Policy Optimization</a></b> has been accepted for publication in JMLR!</p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="JMLR" /><summary type="html"><![CDATA[Our paper Importance Sampling Techniques for Policy Optimization has been accepted for publication in JMLR!]]></summary></entry><entry><title type="html">One Paper accepted at ICML 2020</title><link href="https://albertometelli.github.io/posts/2020/01/icml2020/" rel="alternate" type="text/html" title="One Paper accepted at ICML 2020" /><published>2020-06-02T00:00:00+02:00</published><updated>2020-06-02T00:00:00+02:00</updated><id>https://albertometelli.github.io/posts/2020/01/icml2020</id><content type="html" xml:base="https://albertometelli.github.io/posts/2020/01/icml2020/"><![CDATA[<p>Our paper <b><a href="/publication/0010-2020-Control-Frequency-Adaptation-via-Action-Persistence-in-Batch-Reinforcement-Learning">Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning</a></b> has been accepted for publication at ICML 2020!</p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="ICML 2020" /><summary type="html"><![CDATA[Our paper Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning has been accepted for publication at ICML 2020!]]></summary></entry><entry><title type="html">One Paper accepted at AAAI 2020</title><link href="https://albertometelli.github.io/posts/2019/11/aaai2020/" rel="alternate" type="text/html" title="One Paper accepted at AAAI 2020" /><published>2019-11-10T00:00:00+01:00</published><updated>2019-11-10T00:00:00+01:00</updated><id>https://albertometelli.github.io/posts/2019/11/aaai2020</id><content type="html" xml:base="https://albertometelli.github.io/posts/2019/11/aaai2020/"><![CDATA[<p>Our paper <b><a href="/publication/0008-2020-Gradient-Aware-Model-Based-Policy-Search">Gradient Aware Model-based Policy Search</a></b> has been accepted for publication at AAAI 2020!</p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="AAAI 2020" /><summary type="html"><![CDATA[Our paper Gradient Aware Model-based Policy Search has been accepted for publication at AAAI 2020!]]></summary></entry><entry><title type="html">One Paper accepted at NeurIPS 2019</title><link href="https://albertometelli.github.io/posts/2019/09/neurips2019/" rel="alternate" type="text/html" title="One Paper accepted at NeurIPS 2019" /><published>2019-09-04T00:00:00+02:00</published><updated>2019-09-04T00:00:00+02:00</updated><id>https://albertometelli.github.io/posts/2019/09/neurips2019</id><content type="html" xml:base="https://albertometelli.github.io/posts/2019/09/neurips2019/"><![CDATA[<p>Our paper <b><a href="/publication/0007-2019-Propagating-Uncertainty-in-Reinforcement-Learning-via-Wasserstein-Barycenters">Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters</a></b> has been accepted for publication at NeurIPS 2019!</p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="NeurIPS 2019" /><summary type="html"><![CDATA[Our paper Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters has been accepted for publication at NeurIPS 2019!]]></summary></entry><entry><title type="html">Two Papers accepted at ICML 2019</title><link href="https://albertometelli.github.io/posts/2019/04/icml2019/" rel="alternate" type="text/html" title="Two Papers accepted at ICML 2019" /><published>2019-04-22T00:00:00+02:00</published><updated>2019-04-22T00:00:00+02:00</updated><id>https://albertometelli.github.io/posts/2019/04/icml2019</id><content type="html" xml:base="https://albertometelli.github.io/posts/2019/04/icml2019/"><![CDATA[<p>My colleagues and I got two papers accepted at ICML 2019: <b><a href="/publication/0005-2019-Reinforcement-Learning-in-Configurable-Continuous-Environments">Reinforcement Learning in Configurable Continuous Environments</a></b> and <b><a href="/publication/0004-2019-Optimistic-Policy-Optimization-via-Multiple-Importance-Sampling">Optimistic Policy Optimization via Multiple Importance Sampling</a></b>!</p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="ICML 2019" /><summary type="html"><![CDATA[My colleagues and I got two papers accepted at ICML 2019: Reinforcement Learning in Configurable Continuous Environments and Optimistic Policy Optimization via Multiple Importance Sampling!]]></summary></entry><entry><title type="html">Our Paper POIS has been accepted for Oral Presentation at NeurIPS 2018</title><link href="https://albertometelli.github.io/posts/2018/09/neurips2018/" rel="alternate" type="text/html" title="Our Paper POIS has been accepted for Oral Presentation at NeurIPS 2018" /><published>2018-09-04T00:00:00+02:00</published><updated>2018-09-04T00:00:00+02:00</updated><id>https://albertometelli.github.io/posts/2018/09/neurips2018</id><content type="html" xml:base="https://albertometelli.github.io/posts/2018/09/neurips2018/"><![CDATA[<p>Our paper <b><a href="/publication/0002-2018-Policy-Optimization-via-Importance-Sampling">Policy Optimization via Importance Sampling</a></b> has been accepted for <b>oral presentation</b> at NeurIPS 2018!</p>

<p>Watch the <a href="https://www.facebook.com/nipsfoundation/videos/198568127715251/">Talk</a> given by my colleague <a href="https://t3p.github.io/">Matteo</a></p>

<p><img src="/files/poislogo.png" /></p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="NeurIPS 2018" /><summary type="html"><![CDATA[Our paper Policy Optimization via Importance Sampling has been accepted for oral presentation at NeurIPS 2018!]]></summary></entry><entry><title type="html">One Paper accepted at ICML 2018</title><link href="https://albertometelli.github.io/posts/2018/05/icml2018/" rel="alternate" type="text/html" title="One Paper accepted at ICML 2018" /><published>2018-05-01T00:00:00+02:00</published><updated>2018-05-01T00:00:00+02:00</updated><id>https://albertometelli.github.io/posts/2018/05/icml2018</id><content type="html" xml:base="https://albertometelli.github.io/posts/2018/05/icml2018/"><![CDATA[<p>Our paper <b><a href="/publication/0003-2018-Configurable-Markov-Decision-Processes">Configurable Markov Decision Processes</a></b> is going to be presented at ICML 2018 in a long talk.</p>]]></content><author><name>Alberto Maria Metelli</name></author><category term="ICML 2018" /><summary type="html"><![CDATA[Our paper Configurable Markov Decision Processes is going to be presented at ICML 2018 in a long talk.]]></summary></entry></feed>