यह पृष्ठ मशीन द्वारा अंग्रेज़ी से हिंदी में अनुवादित किया गया था। अंग्रेज़ी मूल देखें
Python developers, researchers, and engineers implementing continuous-state Active Inference models.
A tested, documented continuous-state Active Inference library in Python.
इस पेज पर
cpomdp is an open-source Python library for continuous-state Active Inference. It provides factor-graph message passing, Kalman and reference filtering, state-dependent observation and process noise, certifiable tolerances, and matched classical control baselines.
cpomdp brings rigorous continuous-state Active Inference to Python. Agents maintain Gaussian beliefs over continuous latent states, update via message passing on Forney-style factor graphs, and select actions by minimizing expected free energy over declared action sets with certified warrant tolerances.
Contributors interested in numerical analysis, JAX/NumPy reference kernels, Kalman filtering, and continuous generative modeling are welcome to participate via Discord and GitHub.
संबंधित संसाधन
बाहरी लिंक साझा रजिस्ट्री से हल किए जाते हैं, इसलिए आगंतुकों के लिए गंतव्य केंद्रीकृत और जाँच योग्य रहते हैं।
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