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Understanding when Dynamics-Invariant Data Augmentations Benefit
  Model-Free Reinforcement Learning Updates

Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates

26 October 2023
Nicholas Corrado
Josiah P. Hanna
ArXivPDFHTML

Papers citing "Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates"

5 / 5 papers shown
Title
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
64
1
0
17 Feb 2025
Reinforcement Learning with Euclidean Data Augmentation for State-Based
  Continuous Control
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo
Dingyang Chen
Qi Zhang
OffRL
26
0
0
16 Oct 2024
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
93
180
0
16 May 2022
Improving Generalization in Reinforcement Learning with Mixture
  Regularization
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang
Bingyi Kang
Jie Shao
Jiashi Feng
109
117
0
21 Oct 2020
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
229
809
0
13 Nov 2016
1