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. 2406.04913
  4. Cited By
Online Adaptation for Enhancing Imitation Learning Policies

Online Adaptation for Enhancing Imitation Learning Policies

7 June 2024
Federico Malato
Ville Hautamaki
    OnRL
ArXivPDFHTML

Papers citing "Online Adaptation for Enhancing Imitation Learning Policies"

3 / 3 papers shown
Title
Search-Based Adversarial Estimates for Improving Sample Efficiency in Off-Policy Reinforcement Learning
Search-Based Adversarial Estimates for Improving Sample Efficiency in Off-Policy Reinforcement Learning
Federico Malato
Ville Hautamaki
42
0
0
03 Feb 2025
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Anssi Kanervisto
Stephanie Milani
Karolis Ramanauskas
Nicholay Topin
Zichuan Lin
...
Franccois Fleuret
Alexander Nikulin
Yury Belousov
Oleg Svidchenko
A. Shpilman
OffRL
60
31
0
17 Feb 2022
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
165
1,632
0
02 Feb 2020
1