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verl-agent
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verl-agent

Active·★ 1.9k·Apache-2.0·Updated 2026-05-28
★ Trending

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

`verl-agent` extends veRL to train LLM agents using reinforcement learning, featuring a novel step-independent multi-turn rollout mechanism. This design ensures high scalability for long-horizon tasks by allowing customizable per-step input structures and memory management.

#LLM Agents#Reinforcement Learning#Deep Learning#Multi-turn Interaction#Scalability#Coding
$ Install
$ pip install -e .
↗ Visit site★ GitHub
01

Features

01Multi-Turn Agent-Environment Interaction
02Fully Customizable Memory Module & Per-Step Input Structure
03Scalable for Very Long-Horizon Optimization
04Parallelized Gym-Style Environments and Group Environments
05Diverse Reinforcement Learning Algorithms
02

Compatibility

veRL
Native Integration
Verified via docs
ROLL
Supported
Verified via docs
OpenManus-RL
Supported
Verified via docs
03

Quick start

1
$ pip install -e .
04

Use cases

↳Training large language model agents for complex multi-turn, long-horizon tasks.
↳Developing reasoning agents for both visual and text-based environments.
↳Solving digital interface control, embodied AI, and search-related challenges.
05

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verl-agent AlternativesBest Vision / Multimodal Tools 2026Open Source Vision / Multimodalverl-agent Tutorialverl-agent Vs CompetitorsLLM AgentsReinforcement LearningDeep Learning

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 1.9k
Last commit2d ago
StatusActive
LicenseApache-2.0
CategoryVision / Multimodal
Trend (30d)
+0k↑ 4.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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