[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-pirate-ai-q-learning-treasure-agent-en":3,"tags-pirate-ai-q-learning-treasure-agent-en":24,"related-lang-pirate-ai-q-learning-treasure-agent-en":25,"related-posts-pirate-ai-q-learning-treasure-agent-en":29,"series-industry-0c87c77c-199e-4990-9308-69e6582e251e":66},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":10,"language":12,"translated_content":10,"views":13,"is_premium":14,"created_at":15,"updated_at":15,"cover_image":11,"published_at":16,"rewrite_status":17,"rewrite_error":10,"rewritten_from_id":18,"slug":19,"category":20,"related_article_id":21,"status":22,"google_indexed_at":23,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":14},"0c87c77c-199e-4990-9308-69e6582e251e","Pirate-AI trains a treasure-seeking Q-learning agent","\u003Cp data-speakable=\"summary\">Pirate-AI is a Jupyter Notebook project that trains a pirate \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> with deep Q-learning to reach treasure.\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fquestmcclure\u002FPirate-AI\" target=\"_blank\" rel=\"noopener\">Pirate-AI\u003C\u002Fa> is a tiny but instructive \u003Ca href=\"\u002Ftag\u002Freinforcement-learning\">reinforcement learning\u003C\u002Fa> project: one \u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa> star, zero forks, and a notebook-based implementation focused on path finding. The goal is simple to state and hard to make work well in code, which is why this repo is interesting.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Metric\u003C\u002Fth>\u003Cth>Value\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Repository\u003C\u002Ftd>\u003Ctd>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fquestmcclure\u002FPirate-AI\" target=\"_blank\" rel=\"noopener\">questmcclure\u002FPirate-AI\u003C\u002Fa>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Stars\u003C\u002Ftd>\u003Ctd>1\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Forks\u003C\u002Ftd>\u003Ctd>0\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Language\u003C\u002Ftd>\u003Ctd>Jupyter Notebook\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Learning method\u003C\u002Ftd>\u003Ctd>Deep Q-learning\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What this project is trying to do\u003C\u002Fh2>\u003Cp>The repository frames the problem as a pirate trying to reach treasure by learning which actions produce the best outcome over time. Instead of hard-coding a route, the agent learns from reward signals, state transitions, and repeated episodes of play.\u003C\u002Fp>\u003Cp>That makes this more than a toy navigation demo. It is a compact example of how reinforcement learning turns a sequence of choices into a policy, with the model gradually preferring actions that lead to better returns.\u003C\u002Fp>\u003Cp>The README says the project was built in \u003Ca href=\"https:\u002F\u002Fwww.python.org\u002F\" target=\"_blank\" rel=\"noopener\">Python\u003C\u002Fa> with \u003Ca href=\"https:\u002F\u002Fkeras.io\u002F\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778418633516-5txc.png\" alt=\"Pirate-AI trains a treasure-seeking Q-learning agent\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778418637774-ot8b.png\" alt=\"Pirate-AI trains a treasure-seeking Q-learning agent\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n","Pirate-AI is a Jupyter Notebook project that trains a pirate agent with deep Q-learning to find treasure more reliably.","github.com","https:\u002F\u002Fgithub.com\u002Fquestmcclure\u002FPirate-AI",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778418633516-5txc.png","en",2,false,"2026-05-10T13:10:19.154828+00:00","2026-05-10T13:10:19.145+00:00","done","df29bef6-1a59-4b07-b57d-ab839d9532aa","pirate-ai-q-learning-treasure-agent-en","industry","000c31c0-8cff-487d-a7ab-30ed1090178f","published","2026-05-11T09:00:15.569+00:00",[],{"id":21,"slug":26,"title":27,"language":28},"pirate-ai-q-learning-treasure-agent-zh","Pirate-AI：用 Q-learning 找寶藏","zh",[30,36,42,48,54,60],{"id":31,"slug":32,"title":33,"cover_image":34,"image_url":34,"created_at":35,"category":20},"6ff3920d-c8ea-4cf3-8543-9cf9efc3fe36","circles-agent-stack-targets-machine-speed-payments-en","Circle’s Agent Stack targets machine-speed payments","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871659638-hur1.png","2026-05-15T19:00:44.756112+00:00",{"id":37,"slug":38,"title":39,"cover_image":40,"image_url":40,"created_at":41,"category":20},"1270e2f4-6f3b-4772-9075-87c54b07a8d1","iren-signs-nvidia-ai-infrastructure-pact-en","IREN signs Nvidia AI infrastructure pact","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871059665-3vhi.png","2026-05-15T18:50:38.162691+00:00",{"id":43,"slug":44,"title":45,"cover_image":46,"image_url":46,"created_at":47,"category":20},"b308c85e-ee9c-4de6-b702-dfad6d8da36f","circle-agent-stack-ai-payments-en","Circle launches Agent Stack for AI 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