Retrieval-Augmented Generation (RAG) models often suffer from reward sparsity and inefficient credit assignment when optimized with traditional outcome-based Reinforcement Learning (RL).
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PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax ...
Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG ...
Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, ...
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