Stochastic calculus-guided reinforcement learning: A probabilistic framework for optimal decision-making

Author:

Devadas Raghavendra M.ORCID,Hiremani Vani,Bhavya K.R.,Rani N. Shobha

Publisher

Elsevier BV

Reference26 articles.

1. A mini review on the utilization of reinforcement learning with OPC UA;Schindler,2023

2. Patel, N., Lee, S., Mannelli, S.S., Goldt, S., & Saxe, A. (2023). The RL perceptron: generalisation dynamics of policy learning in high dimensions. arXiv:2306.10404.

3. Reliability evaluation of reinforcement learning methods for mechanical systems with increasing complexity;Manzl;Multibody Syst. Dyn,2023

4. Application of deep reinforcement learning control of an inverted hydraulic pendulum;Brumand-Poor;Internat. J. Fluid Power,2023

5. A systematic study on reinforcement learning-based applications;Sivamayil;Energies,2023

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