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CLARE: Conservative Model-Based Reward Learning for Offline Inverse
  Reinforcement Learning
v1v2 (latest)

CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning

International Conference on Learning Representations (ICLR), 2023
9 February 2023
Sheng Yue
Guan-Bo Wang
Wei Shao
Zhaofeng Zhang
Sen Lin
Junkai Ren
Junshan Zhang
    OffRL
ArXiv (abs)PDFHTMLGithub (208★)

Papers citing "CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning"

9 / 9 papers shown
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
Shengjie Sun
Jiafei Lyu
Runze Liu
Mengbei Yan
Bo Liu
Deheng Ye
Xiu Li
OffRL
388
0
0
14 Nov 2025
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
Woo-Jin Ahn
Sang-Ryul Baek
Yong-Jun Lee
H. Choi
M. Lim
OffRL
154
0
0
17 Oct 2025
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen
Menglin Zou
Jiaqi Zhang
Y. Zhang
Junyi Yang
Gaël Gendron
Libo Zhang
Jiamou Liu
Michael Witbrock
312
0
0
27 Sep 2025
Grounded Answers for Multi-agent Decision-making Problem through
  Generative World Model
Grounded Answers for Multi-agent Decision-making Problem through Generative World ModelNeural Information Processing Systems (NeurIPS), 2024
Zeyang Liu
Xinrui Yang
Shiguang Sun
Long Qian
Lipeng Wan
Xingyu Chen
Xuguang Lan
425
6
0
03 Oct 2024
The Virtues of Pessimism in Inverse Reinforcement Learning
David Wu
Gokul Swamy
J. Andrew Bagnell
Zhiwei Steven Wu
Sanjiban Choudhury
369
0
0
04 Feb 2024
A Bayesian Approach to Robust Inverse Reinforcement Learning
A Bayesian Approach to Robust Inverse Reinforcement LearningConference on Robot Learning (CoRL), 2023
Ran Wei
Siliang Zeng
Chenliang Li
Alfredo García
Anthony D. McDonald
Mingyi Hong
OffRL
432
8
0
15 Sep 2023
Conditional Kernel Imitation Learning for Continuous State Environments
Conditional Kernel Imitation Learning for Continuous State EnvironmentsConference on Learning for Dynamics & Control (L4DC), 2023
Rishabh Agrawal
Nathan Dahlin
Rahul Jain
A. Nayyar
247
1
0
24 Aug 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning
  from Observations
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from ObservationsInternational Conference on Machine Learning (ICML), 2023
Anqi Li
Byron Boots
Ching-An Cheng
OffRL
339
21
0
30 Mar 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood
  Framework for Offline Inverse Reinforcement Learning
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
OffRL
328
26
0
15 Feb 2023
1
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