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Improving exploration in policy gradient search: Application to symbolic optimization
19 July 2021
Mikel Landajuela
Brenden K. Petersen
S. K. Kim
Claudio Santiago
Ruben Glatt
T. Nathan Mundhenk
Jacob F. Pettit
Daniel Faissol
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Papers citing
"Improving exploration in policy gradient search: Application to symbolic optimization"
7 / 7 papers shown
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
Conor F. Hayes
Felipe Leno Da Silva
Jiachen Yang
T. Nathan Mundhenk
Chak Shing Lee
...
Ahmet Can Solak
Thomas Desautels
Daniel Faissol
Brenden K. Petersen
Mikel Landajuela
280
1
0
16 May 2025
Generalizing the SINDy approach with nested neural networks
ESAIM Proceedings and Surveys (ESAIM Proc. Surv.), 2024
Camilla Fiorini
Clément Flint
Louis Fostier
Emmanuel Franck
Reyhaneh Hashemi
Victor Michel-Dansac
Wassim Tenachi
361
4
0
28 Jan 2025
Physical Symbolic Optimization
Wassim Tenachi
Rodrigo Ibata
F. Diakogiannis
186
1
0
06 Dec 2023
GSR: A Generalized Symbolic Regression Approach
Tony Tohme
Dehong Liu
K. Youcef-Toumi
244
18
0
31 May 2022
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Dixant Mittal
Siddharth Aravindan
W. Lee
OnRL
238
3
0
03 Feb 2022
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
T. Nathan Mundhenk
Mikel Landajuela
Ruben Glatt
Claudio Santiago
Daniel Faissol
Brenden K. Petersen
452
119
0
29 Oct 2021
Incorporating domain knowledge into neural-guided search
Brenden K. Petersen
Claudio Santiago
Mikel Landajuela
94
8
0
19 Jul 2021
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