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A Globally Convergent Evolutionary Strategy for Stochastic Constrained
  Optimization with Applications to Reinforcement Learning

A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning

21 February 2022
Youssef Diouane
Aurélien Lucchi
Vihang Patil
ArXivPDFHTML

Papers citing "A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning"

3 / 3 papers shown
Title
Contrastive Abstraction for Reinforcement Learning
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRL
SSL
24
2
0
01 Oct 2024
TREGO: a Trust-Region Framework for Efficient Global Optimization
TREGO: a Trust-Region Framework for Efficient Global Optimization
Youssef Diouane
Victor Picheny
Rodolophe Le Riche
Alexandre Scotto Di Perrotolo
17
33
0
18 Jan 2021
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
Vihang Patil
M. Hofmarcher
Marius-Constantin Dinu
Matthias Dorfer
P. Blies
Johannes Brandstetter
Jose A. Arjona-Medina
Sepp Hochreiter
6
41
0
29 Sep 2020
1