Adversarial Imitation via Variational Inverse Reinforcement Learning

17 September 2018

Papers citing "Adversarial Imitation via Variational Inverse Reinforcement Learning"

14 / 14 papers shown

Title
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory Yangchun Zhang Wang Zhou Yirui Zhou 55 0 0 31 Dec 2024
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 41 0 0 24 Oct 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Yi Xu Weiran Shen Xiao Zhang Jun Xu OffRL 44 0 0 24 Mar 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Learning Reward for Physical Skills using Large Language Model Yuwei Zeng Yiqing Xu 36 6 0 21 Oct 2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning Sheng Yue Guan-Bo Wang Wei Shao Zhaofeng Zhang Sen Lin Junkai Ren Junshan Zhang OffRL 31 20 0 09 Feb 2023
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 19 1 0 22 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 24 14 0 09 Jun 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 26 2 0 30 Mar 2022
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain Yachen Kang Jinxin Liu Xin Cao Donglin Wang 21 3 0 21 Oct 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 81 28 0 13 Jul 2021
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 25 27 0 26 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 34 212 0 13 Jul 2019