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Paper page

huggingface.co·Infrastructure

verl-agent is an open-source implementation of Group-in-Group Policy Optimization (GiGPO), a reinforcement learning algorithm designed to improve credit assignment for long-horizon LLM-based agents. It achieves better performance on benchmarks such as ALFWorld and WebShop compared to baselines while using the same GPU memory and rollout procedures. The project is associated with a research paper and targets developers building or experimenting with autonomous LLM agents.

Open SourceApache-2.0WebSelf-hosted
PPaper page preview
Visit huggingface.co↗
2.1kstars
206forks
4features
2024since

Overview

4 features

In the Autonomous agents & workflows space, Paper page takes a focused approach. Inefficient credit assignment and high computational cost when training LLM agents on long-horizon tasks with sparse rewards. It is built as an open-source project for AI researchers and developers. Paper page is open source under the Apache-2.0 license. It runs on the web, and it can be self-hosted.

Behind Paper page is langfengQ, and it first shipped in 2024. The project is developed in the open on GitHub with 2.1k stars and 2 commits in the last 90 days. Among its 4 catalogued features are RL Training, Credit Assignment, and Long-horizon Agents.

Summary written by a language model from the project’s public pages.

  • ✓RL Training
  • ✓Credit Assignment
  • ✓Long-horizon Agents
  • ✓Low Memory Usage
Tags
rl-algorithmllm-agentspolicy-optimizationgigpolong-horizon-rl
AI capabilities
TextCode
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
Runs on
BrowserSelf-hosted
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source✓Free tier✓GitHub · ★ 2.1k✓Active maintenance
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed22 Jul · 18:11 UTC
    langfengQ/verl-agent verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Paper page

What does Paper page do?
Inefficient credit assignment and high computational cost when training LLM agents on long-horizon tasks with sparse rewards. It is catalogued under Autonomous agents & workflows on PulseGate.
Who is Paper page for?
Paper page is an open-source project built for AI researchers and developers.
Is Paper page free?
Yes — Paper page is open source under the Apache-2.0 license and free to use.
What platforms does Paper page run on?
Paper page runs on the web. It can also be self-hosted.
Is Paper page still active?
The GitHub repository shows 2 commits in the last 90 days.
What projects are similar to Paper page?
Similar projects tracked by PulseGate include chitta-bridge, Bosun, and falcon-limitless-agent.chitta-bridgeBosunfalcon-limitless-agent
Who develops Paper page?
Paper page is developed by langfengQ.
How long has Paper page been around?
Paper page first shipped in 2024.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
Open source
Yes · ★ 2.1k
License
Apache-2.0
Built for
AI researchers and developers
Model
Open source
Solves
Inefficient credit assignment and high computational cost when training LLM agents on long-horizon tasks with sparse rewards.

Registered as

GitHub
langfengQ/verl-agent

Developer

langfengQ
Community-driven
↗ GitHub

Open source

View on GitHub →
Stars
2,143
Forks
206
Open issues
65
Last commit
9 Jun 2026
Commits 90d
2
Contributors
108
Authorship
Community-driven
Default branch
master
Latest release
v0.1.0 · 11 Dec 2025

Live coverage

Identity confidence
Medium · 72.8
Indexed
22 Jul 2026
Lifecycle
Alive
Last seen
22 Jul 2026
Identity audit (13)
Slug
langfengq-verl-agent-huggingface-co
Lifecycle state recorded
22 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
22 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://huggingface.co/papers/2505.10978

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