Symbolic Regression Methods for Reinforcement Learning

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Symbolic Regression Methods for Reinforcement Learning

22 March 2019

Jiří Kubalík

Robert Babuška

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Papers citing "Symbolic Regression Methods for Reinforcement Learning"

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Title
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning R. Dutta Qinchen Wang Ankur Singh Dhruv Kumarjiguda Xiaoli Li Senthilnath Jayavelu 36 2 0 12 May 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 99 10 0 30 Dec 2022
Symbolic Distillation for Learned TCP Congestion Control S. Sharan Wenqing Zheng Kuo-Feng Hsu Jiarong Xing Ang Chen Zhangyang Wang 86 5 0 24 Oct 2022
Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems Hongpeng Zhou W. Pan 39 4 0 01 Jun 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 106 178 0 22 Apr 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 105 44 0 23 Feb 2022
Physics-informed Spline Learning for Nonlinear Dynamics Discovery Fangzheng Sun Yang Liu Hao Sun AI4CE 67 28 0 05 May 2021
Control with adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto 89 2 0 03 Nov 2020