<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://ossm.me/</id><title>Ossm's blog</title><subtitle>Educational articles on artificial intelligence, reinforcement learning, mathematics, and computer science, with a focus on clear explanations and first-principles thinking..</subtitle> <updated>2026-08-12T09:37:56+05:30</updated> <author> <name>sumit mishra</name> <uri>https://ossm.me/</uri> </author><link rel="self" type="application/atom+xml" href="https://ossm.me/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://ossm.me/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 sumit mishra </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Monte Carlo Tree Search: Planning Under Uncertainty by Learning from Random Play</title><link href="https://ossm.me/posts/mcts/" rel="alternate" type="text/html" title="Monte Carlo Tree Search: Planning Under Uncertainty by Learning from Random Play" /><published>2026-07-30T00:00:00+05:30</published> <updated>2026-07-30T00:00:00+05:30</updated> <id>https://ossm.me/posts/mcts/</id> <content type="text/html" src="https://ossm.me/posts/mcts/" /> <author> <name>sumit mishra</name> </author> <category term="Reinforcement Learning" /> <summary>A Technical Deep Dive From Intuition to Implementation</summary> </entry> </feed>
