PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
October 20, 2025Open Access

Imitation Learning via Focused Satisficing

View Full Paper
Ask AI
Bookmark
Share

Authors

RSRushit ShahNANikolaos AgadakosSSSynthia Sasulski

Discussion

Loading...

Member takes

Overview

Focused satisficing shows better acceptability and competitive returns in reinforcement learning using demonstrations.

Key Points

  • This approach enhances policy performance by focusing on quality demonstrations, improving acceptability rates.
  • Experimental results show our method surpasses traditional imitation learning, achieving superior quality in behaviors.
  • The focused satisficing method uses aspiration levels to guide reinforcement learning without direct aspiration learning.
  • This study indicates significant advantages in policy training across various environments and demonstration scenarios.

Cite This Study

Shah et al. (2025) studied this question.

synapsesocial.com/papers/68f58f68ece7a5b64f47133ehttps://doi.org/10.48550/arxiv.2505.14820
View Full Paper
Ask AI
Bookmark
Share