<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Mohamad H. Danesh</title><link>https://modanesh.github.io/</link><description>Recent content on Mohamad H. Danesh</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Thu, 10 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://modanesh.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Morphology-Conditioned World Model for Cross-Embodiment Quadrupedal Locomotion</title><link>https://modanesh.github.io/papers/qwm/</link><pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/papers/qwm/</guid><description>A morphology-conditioned world model that trains quadruped policies in imagination and transfers them zero-shot to unseen robots, in sim and on hardware.</description></item><item><title>What Should a Robot Dream About?</title><link>https://modanesh.github.io/blog/wm/</link><pubDate>Sun, 14 Jun 2026 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/wm/</guid><description>Notes on world models for robotics.</description></item><item><title>Heterogeneous Environments in Isaac Lab</title><link>https://modanesh.github.io/blog/hetero-isaaclab/</link><pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/hetero-isaaclab/</guid><description>A technical guide to training universal robot control policies across multiple morphologies</description></item><item><title>Domain Randomization</title><link>https://modanesh.github.io/blog/domain-randomization/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/domain-randomization/</guid><description>Bridging the Reality Gap - A Survey of Domain Randomization and Future Horizons</description></item><item><title>Location</title><link>https://modanesh.github.io/location/</link><pubDate>Wed, 08 May 2024 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/location/</guid><description>Professor Dr von Igelfeld&amp;#39;s mailing and office addresses at the Institute of Romance Philology.</description></item><item><title>Office Hours</title><link>https://modanesh.github.io/officehours/</link><pubDate>Wed, 08 May 2024 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/officehours/</guid><description>Schedule and location for Professor Dr von Igelfeld&amp;#39;s office hours.</description></item><item><title>Ablation Study of the Bayesian GAN</title><link>https://modanesh.github.io/blog/b_gan/</link><pubDate>Mon, 13 Feb 2023 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/b_gan/</guid><description>Exploring the capacity and limitation of the Bayesian GAN.</description></item><item><title>Generating Gaussian Samples From A Uniform Distribution</title><link>https://modanesh.github.io/blog/gauss_uniform/</link><pubDate>Wed, 16 Mar 2022 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/gauss_uniform/</guid><description>Generating numbers that are distributed with the Gaussian distribution (with any mean and standard deviation as parameters), starting from the random number generator of a computer, i.e. the rand() function.</description></item><item><title>Distributional Reinforcement Learning</title><link>https://modanesh.github.io/blog/c51-qrdqn-iqn/</link><pubDate>Wed, 03 Mar 2021 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/c51-qrdqn-iqn/</guid><description>Presenting some of the most fundamental works on distributional RL.</description></item><item><title>Actor-Critic with Experience Replay</title><link>https://modanesh.github.io/blog/actor-critic-with-experience-replay/</link><pubDate>Fri, 29 Jan 2021 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/actor-critic-with-experience-replay/</guid><description>A brief overview of the ACER RL algorithm is provided.</description></item><item><title>Exploration and Generalization in Reinforcement Learning</title><link>https://modanesh.github.io/blog/exp_gen/</link><pubDate>Mon, 14 Sep 2020 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/exp_gen/</guid><description>A brief description on a few methods to make RL agents explore and generalize faster/better.</description></item><item><title>Summary: Artificial Intelligence - A Modern Approach</title><link>https://modanesh.github.io/blog/ai_summary/</link><pubDate>Thu, 02 Apr 2020 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/ai_summary/</guid><description>My understandings and notes from the AI modern approach book.</description></item><item><title>Summary: Mathematics for Machine Learning</title><link>https://modanesh.github.io/blog/math_ml/</link><pubDate>Wed, 01 Apr 2020 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/math_ml/</guid><description>My understandings and notes from the Math for ML book.</description></item><item><title>Reinforcement Learning Key Papers Keynotes</title><link>https://modanesh.github.io/blog/rl-key-papers-key-notes/</link><pubDate>Sun, 01 Dec 2019 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/rl-key-papers-key-notes/</guid><description>Keynotes from teh RL Key Papers of Spinning Up by OpenAI.</description></item><item><title>Convolutional Neural Network Explanation Methods</title><link>https://modanesh.github.io/blog/conv-neur-net-explanations/</link><pubDate>Tue, 19 Nov 2019 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/conv-neur-net-explanations/</guid><description>A brief description on explanations methods in the computer vision literature.</description></item><item><title>Automatic Environment Generation to Generalize Agents</title><link>https://modanesh.github.io/blog/auto_envs/</link><pubDate>Thu, 16 May 2019 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/auto_envs/</guid><description>Using GANs and evolution algorithms to generate a curriculum for the RL agent.</description></item><item><title>RL Course by David Silver Notes</title><link>https://modanesh.github.io/blog/rl-course-by-david-silver-notes/</link><pubDate>Fri, 14 Dec 2018 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/blog/rl-course-by-david-silver-notes/</guid><description>After being excited about RL for more than a year, I should have a concise and satisfying answer to the question, &amp;#39;What is reinforcement learning?&amp;#39; Here it is gathered briefly.</description></item><item><title>List of Irregular Verbs Across Romance Languages</title><link>https://modanesh.github.io/data/data1/</link><pubDate>Thu, 07 Mar 2013 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/data/data1/</guid><description>This dataset contains all irregular verbs in known Romance languages.</description></item><item><title>Lectures at the Villa of Reduced Circumstances</title><link>https://modanesh.github.io/courses/course1/</link><pubDate>Mon, 10 Mar 2003 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/courses/course1/</guid><description>This graduate course presents classical results in Romance philology.</description></item><item><title>Portugese Irregular Verbs</title><link>https://modanesh.github.io/books/book1/</link><pubDate>Wed, 01 Jan 1997 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/books/book1/</guid><description>This book discusses Portugese irregular verbs in great details.</description></item><item><title>Profanity in Early Irish</title><link>https://modanesh.github.io/courses/course2/</link><pubDate>Sat, 16 Jun 1990 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/courses/course2/</guid><description>This undergraduate course discusses profanity in Early Irish.</description></item><item><title>get in touch</title><link>https://modanesh.github.io/get_in_touch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/get_in_touch/</guid><description>&lt;p>I&amp;rsquo;m pleased to hold a mentorship program focused on Machine Learning and Reinforcement Learning. This initiative is open to students, professionals considering a career transition, or anyone with a keen interest in these areas. While I do not claim to be the ultimate authority in these areas, I believe in the power of collective learning and the insights that can be gained through mutual exploration.&lt;/p>
&lt;p>Our discussions will center around life, research related stuff, career plan, and whatnot. Regular meetings will be scheduled to monitor progress and address emerging challenges.&lt;/p></description></item><item><title>list 100</title><link>https://modanesh.github.io/100/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://modanesh.github.io/100/</guid><description>&lt;p>Inspired by &lt;a href="https://huyenchip.com/list-100/" target="_blank">Chip Huyen&amp;rsquo;s List 100&lt;/a>, here is the list of ~100 (more or less) things I want to do before I die.&lt;/p>
&lt;p>Progress as of Jan 25, 2023.&lt;/p>
&lt;p>🚧 Learn French&lt;/p>
&lt;p>✅ Live in another country: &lt;em>lived in US for almost 2 years for my master&amp;rsquo;s&lt;/em>&lt;/p>
&lt;p>🔜 Start a nonprofit organization&lt;/p>
&lt;p>🔜 Write a book&lt;/p>
&lt;p>🔜 Be in a movie/commercial&lt;/p>
&lt;p>✅ Become the first author of a paper at a top-tier conference: &lt;em>there are a few &lt;a href="https://proceedings.mlr.press/v205/danesh23a.html" target="_blank">@CoRL'22&lt;/a> and &lt;a href="http://proceedings.mlr.press/v139/danesh21a.html" target="_blank">@ICML'22&lt;/a>&lt;/em>&lt;/p></description></item></channel></rss>