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Data-Driven Offline Decision-Making via Invariant Representation
  Learning

Data-Driven Offline Decision-Making via Invariant Representation Learning

21 November 2022
Qi
Yi-Hsun Su
Aviral Kumar
Sergey Levine
    OffRL
ArXivPDFHTML

Papers citing "Data-Driven Offline Decision-Making via Invariant Representation Learning"

7 / 7 papers shown
Title
Offline Model-Based Optimization by Learning to Rank
Offline Model-Based Optimization by Learning to Rank
Rong-Xi Tan
Ke Xue
Shen-Huan Lyu
Haopu Shang
Yao Wang
Yaoyuan Wang
Sheng Fu
Chao Qian
OffRL
81
2
0
15 Oct 2024
Design Editing for Offline Model-based Optimization
Design Editing for Offline Model-based Optimization
Ye Yuan
Youyuan Zhang
Can Chen
Haolun Wu
Zixuan Li
Jianmo Li
James J. Clark
Xue Liu
29
4
0
22 May 2024
Latent Conservative Objective Models for Data-Driven Crystal Structure
  Prediction
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction
Han Qi
Xinyang Geng
Stefano Rando
Iku Ohama
Aviral Kumar
Sergey Levine
DiffM
19
2
0
16 Oct 2023
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
214
413
0
16 Feb 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood
  Estimation
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
Justin Fu
Sergey Levine
OffRL
62
46
0
16 Feb 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
1,944
0
04 May 2020
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
210
718
0
12 May 2016
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