Angioplasty
发表于 2025-3-25 05:57:38
Persistent Homology for Dimensionality Reductionmetric properties of the data. Theoretical underpinnings of the method are presented together with computational algorithms and successful applications in various areas of machine learning. The goal of this chapter is to introduce persistent homology as a practical tool for dimensionality reduction to reinforcement learning researchers.
handle
发表于 2025-3-25 10:02:21
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虚弱
发表于 2025-3-25 13:20:41
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fabricate
发表于 2025-3-25 16:26:04
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RODE
发表于 2025-3-25 21:47:20
Reward Function Design in Reinforcement LearningNevertheless, the mainstream of RL research in recent years has been preoccupied with the development and analysis of learning algorithms, treating the reward signal as given and not subject to change. As the learning algorithms have matured, it is now time to revisit the questions of reward functio
linear
发表于 2025-3-26 02:22:28
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Palpable
发表于 2025-3-26 06:09:58
A Survey on Constraining Policy Updates Using the KL Divergenceampled from an environment eliminates the problem of accumulating model errors that model-based methods suffer from. However, model-free methods are less sample efficient compared to their model-based counterparts and may yield unstable policy updates when the step size between successive policy upd
packet
发表于 2025-3-26 09:22:44
Fisher Information Approximations in Policy Gradient Methodson algorithms. The update direction in NPG-based algorithms is found by preconditioning the usual gradient with the inverse of the Fisher information matrix (FIM). Estimation and approximation of the FIM and FIM-vector products (FVP) are therefore of crucial importance for enabling applications of t
观点
发表于 2025-3-26 12:50:16
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消灭
发表于 2025-3-26 17:09:05
Information-Loss-Bounded Policy Optimization as transforming the constrained TRPO problem into an unconstrained one, either via turning the constraint into a penalty or via objective clipping. In this chapter, an alternative problem reformulation is studied, where the information loss is bounded using a novel transformation of the KullbackLei