ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.01808
  4. Cited By

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

4 October 2022
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
ArXivPDFHTML

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

9 / 9 papers shown
Title
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
137
0
0
03 Jan 2025
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
19
2
0
30 Jun 2024
Imitation Learning in Discounted Linear MDPs without exploration
  assumptions
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
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
Titouan Renard
Andreas Schlaginhaufen
Tingting Ni
Maryam Kamgarpour
45
1
0
25 Mar 2024
Regularized Q-Learning with Linear Function Approximation
Regularized Q-Learning with Linear Function Approximation
Jiachen Xi
Alfredo Garcia
P. Momcilovic
19
2
0
26 Jan 2024
Towards Theoretical Understanding of Inverse Reinforcement Learning
Towards Theoretical Understanding of Inverse Reinforcement Learning
Alberto Maria Metelli
Filippo Lazzati
Marcello Restelli
17
13
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
24
13
0
15 Feb 2023
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Yue Wu
Weitong Zhang
Pan Xu
Quanquan Gu
88
145
0
04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
143
1,624
0
02 Feb 2020
1