seilk.github.io
seilk.github.io is ThunderSyncRL computes gradients while agent rollouts are still running, with one synchronous optimizer step per batch. Up to 1.9× faster to matched performance on SWE-bench Verified and Terminal Bench 4.0.. It is ranked #1519 on the AI Radar, in AI agents, first seen 23 days ago and shared in 1 post (17.2k views).
ThunderSyncRL: Lossless acceleration of agentic reinforcement learning The full article is below. Enable JavaScript to operate the interactive figures, or read the figures in the paper PDF . Skip to article ThunderSyncRL Lossless acceleration of agentic reinforcement learning GitHub arXiv Seil Kang 1,2,* , Hangoo Kang 1,* , Tarun Suresh 1 , Youngeun Kim 3 , Shreyas Pimpalgaonkar 4 , Seong Jae Hwang 2,† , Azalia Mirhoseini 1,‡ 1 Stanford University 2 Yonsei University 3 Korea University 4 Bespoke Labs * Core contributor · † Co-corresponding author · ‡ Main corresponding author GRPO On-policy distillation (OPD) GRPO SWE-bench Verified GRPO…
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seilk.github.io in numbers
- Rank on the AI Radar: #1519 of 10402
- Shared in 1 post by 1 account: @Azaliamirh
- 17.2k views on those posts
- First seen 23 days ago, last shared 23 days ago
- Pricing seen by AGK Intelligence: not stated
- Market: AI agents
FAQ
What is seilk.github.io?
ThunderSyncRL computes gradients while agent rollouts are still running, with one synchronous optimizer step per batch. Up to 1.9× faster to matched performance on SWE-bench Verified and Terminal Bench 4.0. It was first shared on X 23 days ago and is ranked #1519 on the AI Radar.
Is seilk.github.io free?
Pricing is not stated on the page we read.
Who shared seilk.github.io?
1 account on X, including @Azaliamirh, in 1 post totalling 17.2k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.