Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

4 October 2022

Papers citing "Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees"

32 / 32 papers shown

Title
DMRL: Data- and Model-aware Reward Learning for Data Extraction Zhiqiang Wang Ruoxi Cheng 28 0 0 07 May 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality Ruijia Zhang Siliang Zeng Chenliang Li Alfredo García Mingyi Hong 67 0 0 22 Mar 2025
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences Siliang Zeng Yao Liu Huzefa Rangwala George Karypis Mingyi Hong Rasool Fakoor 44 2 0 15 Mar 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Stefano Viel Luca Viano V. Cevher 85 0 0 27 Feb 2025
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Jingyang Ke Feiyang Wu Jiyi Wang Jeffrey Markowitz Anqi Wu 82 0 0 22 Jan 2025
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment Yooseok Lim Sujee Lee OffRL 150 0 0 03 Jan 2025
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates Shicheng Liu Minghui Zhu 49 0 0 21 Oct 2024
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
Inverse Reinforcement Learning with Multiple Planning Horizons Jiayu Yao Weiwei Pan Finale Doshi-Velez Barbara E. Engelhardt 20 0 0 26 Sep 2024
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation Woo Kyung Kim Minjong Yoo Honguk Woo OffRL 34 0 0 22 Aug 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 34 3 0 30 Jun 2024
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment Jiaxiang Li Siliang Zeng Hoi-To Wai Chenliang Li Alfredo García Mingyi Hong 66 15 0 28 May 2024
Inference of Utilities and Time Preference in Sequential Decision-Making Haoyang Cao Zhengqi Wu Renyuan Xu 27 0 0 24 May 2024
How to Leverage Diverse Demonstrations in Offline Imitation Learning Sheng Yue Jiani Liu Xingyuan Hua Ju Ren Sen Lin Junshan Zhang Yaoxue Zhang OffRL 34 3 0 24 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis V. Cevher 30 3 0 03 May 2024
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm Titouan Renard Andreas Schlaginhaufen Tingting Ni Maryam Kamgarpour 51 1 0 25 Mar 2024
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains Feiyang Wu Xavier Nal Ye Zhao Anqi Wu Zhaoyuan Gu Anqi Wu Ye Zhao 40 0 0 09 Feb 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning Chia-Cheng Chiang Li-Cheng Lan Wei-Fang Sun Chien Feng Cho-Jui Hsieh Chun-Yi Lee 33 0 0 01 Feb 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 32 2 0 26 Jan 2024
Inverse Reinforcement Learning with Sub-optimal Experts Riccardo Poiani Gabriele Curti Alberto Maria Metelli Marcello Restelli 16 1 0 08 Jan 2024
Robust Visual Imitation Learning with Inverse Dynamics Representations Siyuan Li Xun Wang Rongchang Zuo Kewu Sun Lingfei Cui Jishiyu Ding Peng Liu Zhe Ma 21 3 0 22 Oct 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning Chao Liu Zhaoyuan Gu Hanran Wu Deniz Irem Erus Ye Zhao 34 6 0 28 Sep 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning Ran Wei Siliang Zeng Chenliang Li Alfredo García Anthony D. McDonald Mingyi Hong OffRL 25 4 0 15 Sep 2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions Tian Xu Ziniu Li Yang Yu Zhimin Luo 13 8 0 11 Jun 2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour 21 10 0 01 Jun 2023
Inverse Reinforcement Learning with the Average Reward Criterion Feiyang Wu Jingyang Ke Anqi Wu 27 9 0 24 May 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning Alberto Maria Metelli Filippo Lazzati Marcello Restelli 21 13 0 25 Apr 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 34 13 0 15 Feb 2023
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees Siliang Zeng Mingyi Hong Alfredo García OffRL 33 12 0 04 Oct 2022
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble Fan Luo Xingchen Cao Rong-Jun Qin Yang Yu 19 2 0 01 Jun 2022
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 90 146 0 04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020