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Pre-training with Synthetic Data Helps Offline Reinforcement Learning

Pre-training with Synthetic Data Helps Offline Reinforcement Learning

1 October 2023
Zecheng Wang
Che Wang
Zixuan Dong
Keith Ross
    OffRL
ArXivPDFHTML

Papers citing "Pre-training with Synthetic Data Helps Offline Reinforcement Learning"

12 / 12 papers shown
Title
General Reasoning Requires Learning to Reason from the Get-go
General Reasoning Requires Learning to Reason from the Get-go
Seungwook Han
Jyothish Pari
Samuel J. Gershman
Pulkit Agrawal
LRM
138
0
0
26 Feb 2025
One-shot World Models Using a Transformer Trained on a Synthetic Prior
One-shot World Models Using a Transformer Trained on a Synthetic Prior
Fabio Ferreira
Moreno Schlageter
Raghu Rajan
André Biedenkapp
Frank Hutter
28
0
0
21 Sep 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
Gao Tianci
Dmitriev D. Dmitry
Konstantin A. Neusypin
Yang Bo
Rao Shengren
OffRL
28
1
0
02 Sep 2024
Guided Trajectory Generation with Diffusion Models for Offline
  Model-based Optimization
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun
Sujin Yun
Jaewoo Lee
Jinkyoo Park
OffRL
45
5
0
29 Jun 2024
Pre-training on Synthetic Driving Data for Trajectory Prediction
Pre-training on Synthetic Driving Data for Trajectory Prediction
Yiheng Li
Seth Z. Zhao
Chenfeng Xu
Chen Tang
Chenran Li
Mingyu Ding
M. Tomizuka
Wei Zhan
32
11
0
18 Sep 2023
Real-World Robot Learning with Masked Visual Pre-training
Real-World Robot Learning with Masked Visual Pre-training
Ilija Radosavovic
Tete Xiao
Stephen James
Pieter Abbeel
Jitendra Malik
Trevor Darrell
SSL
148
239
0
06 Oct 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
129
95
0
28 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
212
838
0
12 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
80
27
0
06 Oct 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
116
0
21 Jan 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
61
51
0
15 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,951
0
04 May 2020
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