Sign up to save your podcasts
Or
Share Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Open RL Benchmark provides fully tracked RL experiments, including algorithm-specific and system metrics, for reproducibility and community contribution, with over 25,000 runs.
https://arxiv.org/abs//2402.03046
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
View all episodes
By Igor Melnyk
5
33 ratings
Open RL Benchmark provides fully tracked RL experiments, including algorithm-specific and system metrics, for reproducibility and community contribution, with over 25,000 runs.
https://arxiv.org/abs//2402.03046
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 shows like Arxiv Papers
View all
Exchanges
977 Listeners
Odd Lots
1,993 Listeners
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
443 Listeners
The Daily
113,121 Listeners
All-In with Chamath, Jason, Sacks & Friedberg
10,254 Listeners
Hard Fork
5,576 Listeners
UnHerd with Freddie Sayers
221 Listeners
Unsupervised Learning with Jacob Effron
51 Listeners
Latent Space: The AI Engineer Podcast
101 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
475 Listeners