deploy: matteobettini/professional_website@b11385a

index.html

@@ -12,7 +12,8 @@
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://sites.google.com/view/dico-marl target=_blank rel=noopener>Website</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href="https://openreview.net/forum?id=qQjUgItPq4" target=_blank rel=noopener>OpenReview</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2405.15054 target=_blank rel=noopener>arXiv</a>
-<a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/poster.pdf>Poster</a></div></div><div class=card-simple><div class=article-metadata><div><span class=author-highlighted><a href=/authors/admin/>Matteo Bettini</a></span>, <span><a href=/authors/prorok/>Amanda Prorok</a></span>, <span><a href=/authors/vincent-moens/>Vincent Moens</a></span></div><span class=article-date>2024</span>
+<a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/poster.pdf>Poster</a>
+<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://youtu.be/ImcuXnmX43g target=_blank rel=noopener>Talk</a></div></div><div class=card-simple><div class=article-metadata><div><span class=author-highlighted><a href=/authors/admin/>Matteo Bettini</a></span>, <span><a href=/authors/prorok/>Amanda Prorok</a></span>, <span><a href=/authors/vincent-moens/>Vincent Moens</a></span></div><span class=article-date>2024</span>
 <span class=middot-divider></span>
 <span class=pub-publication>In <em>Journal of Machine Learning Research (JMLR)</em></span></div><a href=/publication/benchmarl/><img src=/publication/benchmarl/featured_hu61ea57729c9eea7664f9ac410fbef93f_1166554_808x455_fit_q90_lanczos.jpg class=article-banner alt="BenchMARL: Benchmarking Multi-Agent Reinforcement Learning" loading=lazy></a><div class="section-subheading article-title mb-1 mt-3"><a href=/publication/benchmarl/>BenchMARL: Benchmarking Multi-Agent Reinforcement Learning</a></div><a href=/publication/benchmarl/ class=summary-link><div class=article-style><p>BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL) using TorchRL. BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.</p></div></a><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/benchmarl/BenchMARL.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/benchmarl/cite.bib>Cite</a>
@@ -36,7 +37,8 @@
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://sites.google.com/view/dico-marl target=_blank rel=noopener>Website</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href="https://openreview.net/forum?id=qQjUgItPq4" target=_blank rel=noopener>OpenReview</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2405.15054 target=_blank rel=noopener>arXiv</a>
-<a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/poster.pdf>Poster</a></div></div><div class="col col col-sm-12 col-lg-4 col-md-5 ml-3 mb-3"><a href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/><img src=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/compact_hu9dca1e83ecb59c40dcc79a7f11d4d205_4216083_300x0_resize_lanczos.gif alt="Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning" loading=lazy></a></div></div></div></div><div class="col-12 isotope-item js-id-Multi-Agent-Reinforcement-Learning"><div class=container><div class="row media stream-item"><div class="col col-sm-12 col-lg-8 col-md-7 ml-3 media-body"><div class="section-subheading article-title mb-0 mt-0"><a href=/publication/robomaster/>The Cambridge RoboMaster: An Agile Multi-Robot Research Platform</a></div><a href=/publication/robomaster/ class=summary-link><div class=article-style>This article introduces a tightly integrated hardware, control, and simulation software stack on a fleet of holonomic ground robot platforms. Our robots, a fleet of customised DJI Robomaster S1 vehicles, offer a balance between small robots that do not possess sufficient compute or actuation capabilities and larger robots that are unsuitable for indoor multi-robot tests.</div></a><div class="stream-meta article-metadata"><div class=article-metadata><div><span><a href=/authors/blumenkamp/>Jan Blumenkamp</a></span>, <span><a href=/authors/shankar/>Ajay Shankar</a></span>, <span class=author-highlighted><a href=/authors/admin/>Matteo Bettini</a></span>, <span><a href=/authors/joshua-bird/>Joshua Bird</a></span>, <span><a href=/authors/prorok/>Amanda Prorok</a></span></div><span class=article-date>2024</span>
+<a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/poster.pdf>Poster</a>
+<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://youtu.be/ImcuXnmX43g target=_blank rel=noopener>Talk</a></div></div><div class="col col col-sm-12 col-lg-4 col-md-5 ml-3 mb-3"><a href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/><img src=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/compact_hu9dca1e83ecb59c40dcc79a7f11d4d205_4216083_300x0_resize_lanczos.gif alt="Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning" loading=lazy></a></div></div></div></div><div class="col-12 isotope-item js-id-Multi-Agent-Reinforcement-Learning"><div class=container><div class="row media stream-item"><div class="col col-sm-12 col-lg-8 col-md-7 ml-3 media-body"><div class="section-subheading article-title mb-0 mt-0"><a href=/publication/robomaster/>The Cambridge RoboMaster: An Agile Multi-Robot Research Platform</a></div><a href=/publication/robomaster/ class=summary-link><div class=article-style>This article introduces a tightly integrated hardware, control, and simulation software stack on a fleet of holonomic ground robot platforms. Our robots, a fleet of customised DJI Robomaster S1 vehicles, offer a balance between small robots that do not possess sufficient compute or actuation capabilities and larger robots that are unsuitable for indoor multi-robot tests.</div></a><div class="stream-meta article-metadata"><div class=article-metadata><div><span><a href=/authors/blumenkamp/>Jan Blumenkamp</a></span>, <span><a href=/authors/shankar/>Ajay Shankar</a></span>, <span class=author-highlighted><a href=/authors/admin/>Matteo Bettini</a></span>, <span><a href=/authors/joshua-bird/>Joshua Bird</a></span>, <span><a href=/authors/prorok/>Amanda Prorok</a></span></div><span class=article-date>2024</span>
 <span class=middot-divider></span>
 <span class=pub-publication>In <em>Distributed Autonomous Robotic Systems (DARS)</em></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/robomaster/robomaster.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/robomaster/cite.bib>Cite</a>

publication-type/1/index.html

@@ -11,7 +11,8 @@
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://sites.google.com/view/dico-marl target=_blank rel=noopener>Website</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href="https://openreview.net/forum?id=qQjUgItPq4" target=_blank rel=noopener>OpenReview</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2405.15054 target=_blank rel=noopener>arXiv</a>
-<a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/poster.pdf>Poster</a></div></div><div class="col col col-sm-12 col-lg-4 col-md-5 ml-3 mb-3"><a href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/><img src=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/compact_hu9dca1e83ecb59c40dcc79a7f11d4d205_4216083_300x0_resize_lanczos.gif alt="Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning" loading=lazy></a></div></div></div><div class=container><div class="row media stream-item"><div class="col col-sm-12 col-lg-8 col-md-7 ml-3 media-body"><div class="section-subheading article-title mb-0 mt-0"><a href=/publication/robomaster/>The Cambridge RoboMaster: An Agile Multi-Robot Research Platform</a></div><a href=/publication/robomaster/ class=summary-link><div class=article-style>This article introduces a tightly integrated hardware, control, and simulation software stack on a fleet of holonomic ground robot platforms. Our robots, a fleet of customised DJI Robomaster S1 vehicles, offer a balance between small robots that do not possess sufficient compute or actuation capabilities and larger robots that are unsuitable for indoor multi-robot tests.</div></a><div class="stream-meta article-metadata"><div class=article-metadata><div><span><a href=/authors/blumenkamp/>Jan Blumenkamp</a></span>, <span><a href=/authors/shankar/>Ajay Shankar</a></span>, <span class=author-highlighted><a href=/authors/admin/>Matteo Bettini</a></span>, <span><a href=/authors/joshua-bird/>Joshua Bird</a></span>, <span><a href=/authors/prorok/>Amanda Prorok</a></span></div><span class=article-date>2024</span>
+<a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/poster.pdf>Poster</a>
+<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://youtu.be/ImcuXnmX43g target=_blank rel=noopener>Talk</a></div></div><div class="col col col-sm-12 col-lg-4 col-md-5 ml-3 mb-3"><a href=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/><img src=/publication/controlling-behavioral-diversity-in-multi-agent-reinforcement-learning/compact_hu9dca1e83ecb59c40dcc79a7f11d4d205_4216083_300x0_resize_lanczos.gif alt="Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning" loading=lazy></a></div></div></div><div class=container><div class="row media stream-item"><div class="col col-sm-12 col-lg-8 col-md-7 ml-3 media-body"><div class="section-subheading article-title mb-0 mt-0"><a href=/publication/robomaster/>The Cambridge RoboMaster: An Agile Multi-Robot Research Platform</a></div><a href=/publication/robomaster/ class=summary-link><div class=article-style>This article introduces a tightly integrated hardware, control, and simulation software stack on a fleet of holonomic ground robot platforms. Our robots, a fleet of customised DJI Robomaster S1 vehicles, offer a balance between small robots that do not possess sufficient compute or actuation capabilities and larger robots that are unsuitable for indoor multi-robot tests.</div></a><div class="stream-meta article-metadata"><div class=article-metadata><div><span><a href=/authors/blumenkamp/>Jan Blumenkamp</a></span>, <span><a href=/authors/shankar/>Ajay Shankar</a></span>, <span class=author-highlighted><a href=/authors/admin/>Matteo Bettini</a></span>, <span><a href=/authors/joshua-bird/>Joshua Bird</a></span>, <span><a href=/authors/prorok/>Amanda Prorok</a></span></div><span class=article-date>2024</span>
 <span class=middot-divider></span>
 <span class=pub-publication>In <em>Distributed Autonomous Robotic Systems (DARS)</em></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=/publication/robomaster/robomaster.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/robomaster/cite.bib>Cite</a>