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Improving exploration in policy gradient search: Application to symbolic
  optimization

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"

6 / 6 papers shown
Title
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
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
22
0
0
16 May 2025
Generalizing the SINDy approach with nested neural networks
Generalizing the SINDy approach with nested neural networks
Camilla Fiorini
Clément Flint
Louis Fostier
Emmanuel Franck
Reyhaneh Hashemi
Victor Michel-Dansac
Wassim Tenachi
76
1
0
28 Jan 2025
Physical Symbolic Optimization
Physical Symbolic Optimization
Wassim Tenachi
Rodrigo Ibata
F. Diakogiannis
44
0
0
06 Dec 2023
CoNSoLe: Convex Neural Symbolic Learning
CoNSoLe: Convex Neural Symbolic Learning
Haoran Li
Yang Weng
Hanghang Tong
27
9
0
01 Jun 2022
Symbolic Regression via Neural-Guided Genetic Programming Population
  Seeding
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
T. Nathan Mundhenk
Mikel Landajuela
Ruben Glatt
Claudio Santiago
Daniel Faissol
Brenden K. Petersen
38
87
0
29 Oct 2021
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
1