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. 2205.05212
  4. Cited By
A State-Distribution Matching Approach to Non-Episodic Reinforcement
  Learning

A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning

11 May 2022
Archit Sharma
Rehaan Ahmad
Chelsea Finn
    OODOffRL
ArXiv (abs)PDFHTML

Papers citing "A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning"

7 / 7 papers shown
Title
NeoRL: Efficient Exploration for Nonepisodic RL
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
OffRL
119
0
0
03 Jun 2024
Demonstration-free Autonomous Reinforcement Learning via Implicit and
  Bidirectional Curriculum
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
Jigang Kim
Daesol Cho
H. J. Kim
72
3
0
17 May 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous
  Visuomotor Reinforcement Learning
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning
Zichen Zhang
Luca Weihs
OffRL
73
5
0
30 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement
  Learning
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
133
18
0
02 Mar 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Hoai-An Nguyen
Ching-An Cheng
OffRL
93
3
0
06 Jan 2023
Age of Semantics in Cooperative Communications: To Expedite Simulation
  Towards Real via Offline Reinforcement Learning
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning
Xianfu Chen
Zhifeng Zhao
S. Mao
Celimuge Wu
Honggang Zhang
M. Bennis
OffRL
83
3
0
19 Sep 2022
Curious Explorer: a provable exploration strategy in Policy Learning
Curious Explorer: a provable exploration strategy in Policy Learning
M. Miani
Maurizio Parton
M. Romito
126
0
0
29 Jun 2021
1