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Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
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Papers citing "Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees"

31 / 31 papers shown
Title
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
Xu Wan
Wenyue Xu
Chao Yang
Mingyang Sun
44
1
0
03 Jun 2025
DMRL: Data- and Model-aware Reward Learning for Data Extraction
DMRL: Data- and Model-aware Reward Learning for Data Extraction
Zhiqiang Wang
Ruoxi Cheng
45
0
0
07 May 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Ruijia Zhang
Siliang Zeng
Chenliang Li
Alfredo García
Mingyi Hong
108
0
0
22 Mar 2025
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
Siliang Zeng
Yao Liu
Huzefa Rangwala
George Karypis
Mingyi Hong
Rasool Fakoor
126
2
0
15 Mar 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel
Luca Viano
Volkan Cevher
186
1
0
27 Feb 2025
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Jingyang Ke
Feiyang Wu
Jiyi Wang
Jeffrey Markowitz
Anqi Wu
155
1
0
22 Jan 2025
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
Yooseok Lim
Sujee Lee
OffRL
215
0
0
03 Jan 2025
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
Shicheng Liu
Minghui Zhu
95
1
0
21 Oct 2024
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
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
99
3
0
03 Oct 2024
Inverse Reinforcement Learning with Multiple Planning Horizons
Inverse Reinforcement Learning with Multiple Planning Horizons
Jiayu Yao
Weiwei Pan
Finale Doshi-Velez
Barbara E. Engelhardt
99
0
0
26 Sep 2024
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
Woo Kyung Kim
Minjong Yoo
Honguk Woo
OffRL
82
0
0
22 Aug 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
Sangwoong Yoon
Himchan Hwang
Dohyun Kwon
Yung-Kyun Noh
Frank C. Park
85
3
0
30 Jun 2024
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
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
130
18
0
28 May 2024
Inference of Utilities and Time Preference in Sequential Decision-Making
Inference of Utilities and Time Preference in Sequential Decision-Making
Haoyang Cao
Zhengqi Wu
Renyuan Xu
59
0
0
24 May 2024
How to Leverage Diverse Demonstrations in Offline Imitation Learning
How to Leverage Diverse Demonstrations in Offline Imitation Learning
Sheng Yue
Jiani Liu
Xingyuan Hua
Ju Ren
Sen Lin
Junshan Zhang
Yaoxue Zhang
OffRL
74
4
0
24 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano
Stratis Skoulakis
Volkan Cevher
55
5
0
03 May 2024
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
Titouan Renard
Andreas Schlaginhaufen
Tingting Ni
Maryam Kamgarpour
85
1
0
25 Mar 2024
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
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
69
0
0
09 Feb 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
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
60
0
0
01 Feb 2024
Regularized Q-Learning with Linear Function Approximation
Regularized Q-Learning with Linear Function Approximation
Jiachen Xi
Alfredo Garcia
P. Momcilovic
107
2
0
26 Jan 2024
Inverse Reinforcement Learning with Sub-optimal Experts
Inverse Reinforcement Learning with Sub-optimal Experts
Riccardo Poiani
Gabriele Curti
Alberto Maria Metelli
Marcello Restelli
47
1
0
08 Jan 2024
Robust Visual Imitation Learning with Inverse Dynamics Representations
Robust Visual Imitation Learning with Inverse Dynamics Representations
Siyuan Li
Xun Wang
Rongchang Zuo
Kewu Sun
Lingfei Cui
Jishiyu Ding
Peng Liu
Zhe Ma
63
4
0
22 Oct 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
Chao Liu
Zhaoyuan Gu
Hanran Wu
Deniz Irem Erus
Ye Zhao
105
6
0
28 Sep 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
A Bayesian Approach to Robust Inverse Reinforcement Learning
Ran Wei
Siliang Zeng
Chenliang Li
Alfredo García
Anthony D. McDonald
Mingyi Hong
OffRL
83
4
0
15 Sep 2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Tian Xu
Ziniu Li
Yang Yu
Zhimin Luo
64
10
0
11 Jun 2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Andreas Schlaginhaufen
Maryam Kamgarpour
98
11
0
01 Jun 2023
Inverse Reinforcement Learning with the Average Reward Criterion
Inverse Reinforcement Learning with the Average Reward Criterion
Feiyang Wu
Jingyang Ke
Anqi Wu
77
10
0
24 May 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning
Towards Theoretical Understanding of Inverse Reinforcement Learning
Alberto Maria Metelli
Filippo Lazzati
Marcello Restelli
73
14
0
25 Apr 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 Learning
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
OffRL
73
15
0
15 Feb 2023
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
Siliang Zeng
Mingyi Hong
Alfredo García
OffRL
71
12
0
04 Oct 2022
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
Fan Luo
Xingchen Cao
Rong-Jun Qin
Yang Yu
99
3
0
01 Jun 2022

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