Arxiv Papers

[short] Offline pRetraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias


Listen Later

Offline retraining, a policy extraction step at the end of online fine-tuning, decouples policies used for data collection and evaluation, reducing bias and improving performance in reinforcement learning.


https://arxiv.org/abs//2310.08558


YouTube: https://www.youtube.com/@ArxivPapers


TikTok: https://www.tiktok.com/@arxiv_papers


Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016


Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers


...more
View all episodesView all episodes
Download on the App Store

Arxiv PapersBy Igor Melnyk

  • 5
  • 5
  • 5
  • 5
  • 5

5

3 ratings


More shows like Arxiv Papers

View all
Exchanges by Goldman Sachs

Exchanges

964 Listeners

Odd Lots by Bloomberg

Odd Lots

1,998 Listeners

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

435 Listeners

The Daily by The New York Times

The Daily

113,004 Listeners

All-In with Chamath, Jason, Sacks & Friedberg by All-In Podcast, LLC

All-In with Chamath, Jason, Sacks & Friedberg

10,247 Listeners

Hard Fork by The New York Times

Hard Fork

5,540 Listeners

UnHerd with Freddie Sayers by UnHerd

UnHerd with Freddie Sayers

217 Listeners

Unsupervised Learning with Jacob Effron by by Redpoint Ventures

Unsupervised Learning with Jacob Effron

51 Listeners

Latent Space: The AI Engineer Podcast by swyx + Alessio

Latent Space: The AI Engineer Podcast

99 Listeners

BG2Pod with Brad Gerstner and Bill Gurley by BG2Pod

BG2Pod with Brad Gerstner and Bill Gurley

473 Listeners