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

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

9 February 2023

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

12 / 12 papers shown

Title
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model Zeyang Liu Xinrui Yang Shiguang Sun Long Qian Lipeng Wan Xingyu Chen Xuguang Lan 22 2 0 03 Oct 2024
Efficient Imitation Learning with Conservative World Models Victor Kolev Rafael Rafailov Kyle Hatch Jiajun Wu Chelsea Finn OffRL 19 5 0 21 May 2024
SEABO: A Simple Search-Based Method for Offline Imitation Learning Jiafei Lyu Xiaoteng Ma Le Wan Runze Liu Xiu Li Zongqing Lu OffRL 13 9 0 06 Feb 2024
The Virtues of Pessimism in Inverse Reinforcement Learning David Wu Gokul Swamy J. Andrew Bagnell Zhiwei Steven Wu Sanjiban Choudhury 17 0 0 04 Feb 2024
A Bayesian Approach to Robust Inverse Reinforcement Learning Ran Wei Siliang Zeng Chenliang Li Alfredo García Anthony D. McDonald Mingyi Hong OffRL 16 3 0 15 Sep 2023
Conditional Kernel Imitation Learning for Continuous State Environments Rishabh Agrawal Nathan Dahlin Rahul Jain A. Nayyar 15 0 0 24 Aug 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 25 436 0 27 Jul 2023
CEIL: Generalized Contextual Imitation Learning Jinxin Liu Li He Yachen Kang Zifeng Zhuang Donglin Wang Huazhe Xu 10 18 0 26 Jun 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations Anqi Li Byron Boots Ching-An Cheng OffRL 16 16 0 30 Mar 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 6 13 0 15 Feb 2023
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 194 412 0 16 Feb 2021
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 56 23 0 12 Dec 2020