Home/Compare/ROLL vs LLM-Agent-Paper-List

Comparison

ROLL vs LLM-Agent-Paper-List

Verdict

Pick ROLL if efficient library for scaling reinforcement learning tasks with large language models; user-friendly setup and debugging tools provided; pick LLM-Agent-Paper-List if lLM-Agent-Paper-List is a curated repository of essential papers on large language model-based agents, focusing on AgentGym, a framework for developing and training LLM agents through reinforcement learning.

Markdown twin · ROLL alternatives · LLM-Agent-Paper-List alternatives

GraphCanon updated Sep 20, 2026

10views this month

ROLL logo

ROLL

alibaba/ROLL

★ 3.4kpushed Sep 6, 2026
vs
LLM-Agent-Paper-List logo

LLM-Agent-Paper-List

WooooDyy/LLM-Agent-Paper-List

★ 8.2kpushed Sep 12, 2025

Trust & integrity

SignalROLLLLM-Agent-Paper-List
Maintenance
Very active (0d since push)
As of Sep 6, 2026 · github_public_v1
Dormant (371d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 6, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

ROLL
Scaling Library for Reinforcement Learning with Large Language Models
LLM-Agent-Paper-List
Must-read papers for LLM-based agents.

Stars

ROLL
3.4k
LLM-Agent-Paper-List
8.2k

Forks

ROLL
311
LLM-Agent-Paper-List
499

Open issues

ROLL
128
LLM-Agent-Paper-List
32

Language

ROLL
Python
LLM-Agent-Paper-List
-

Adopt for

ROLL
Efficient library for scaling reinforcement learning tasks with large language models; user-friendly setup and debugging tools provided.
LLM-Agent-Paper-List
LLM-Agent-Paper-List is a curated repository of essential papers on large language model-based agents, focusing on AgentGym, a framework for developing and training LLM agents through reinforcement learning.

Persona

ROLL
-
LLM-Agent-Paper-List
-

Runtime

ROLL
-
LLM-Agent-Paper-List
-

License

ROLL
Apache-2.0
LLM-Agent-Paper-List
-

Last pushed

ROLL
Sep 6, 2026
LLM-Agent-Paper-List
Sep 12, 2025

Categories

ROLL
Evaluation & Observability, Model Training
LLM-Agent-Paper-List
AI Agents, Evaluation & Observability, Model Training

Trust and health

Maintenance

ROLL
Very active (96%)
LLM-Agent-Paper-List
Dormant (18%)

Days since push

ROLL
0d
LLM-Agent-Paper-List
371d

Open issues (now)

ROLL
128
LLM-Agent-Paper-List
32

Stars delta

ROLL
+29 (30d)
LLM-Agent-Paper-List
+50 (30d)

Open issues delta

ROLL
+8 (30d)
LLM-Agent-Paper-List
+1 (30d)

Owner type

ROLL
Organization
LLM-Agent-Paper-List
User

Full report

LLM-Agent-Paper-List
Trust report

Choose ROLL if…

  • Tags unique to ROLL: agentic, rlhf, rlvr.
  • When developing reinforcement learning applications requiring integration of large language models, offering efficient scalability solutions.
  • More recently updated (last pushed Sep 6, 2026).

When NOT to use ROLL

  • Avoid for tasks that prioritize minimalist setups over advanced feature integrations like Alibaba Cloud Function Compute DevPods.
  • Not suitable if you prefer tools without built-in support for converting models between MCoreAdapter and Hugging Face formats.

Choose LLM-Agent-Paper-List if…

  • Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm.
  • Also covers AI Agents.
  • When you need a comprehensive list of must-read papers on LLM-based agents, including detailed insights into AgentGym, a framework for developing and training LLM agents through reinforcement learning

When NOT to use LLM-Agent-Paper-List

  • If you are looking for a tool that focuses on a broader range of AI agent development beyond LLM-based agents, as LLM-Agent-Paper-List is specifically curated for LLM-based agents
  • When you need real-time updates or a dynamic list of papers, as the repository is a static list and does not automatically update with new publications
  • If you require a tool that includes practical code implementations for all listed papers, as the repository primarily serves as a list and does not provide comprehensive code for every paper

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ROLL 3.4k · LLM-Agent-Paper-List 8.2k (synced Sep 20, 2026).

Common questions

What is the difference between ROLL and LLM-Agent-Paper-List?
ROLL: Scaling Library for Reinforcement Learning with Large Language Models. LLM-Agent-Paper-List: Must-read papers for LLM-based agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose ROLL over LLM-Agent-Paper-List?
Choose ROLL over LLM-Agent-Paper-List when Tags unique to ROLL: agentic, rlhf, rlvr; When developing reinforcement learning applications requiring integration of large language models, offering efficient scalability solutions; More recently updated (last pushed Sep 6, 2026).
When should I choose LLM-Agent-Paper-List over ROLL?
Choose LLM-Agent-Paper-List over ROLL when Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm; Also covers AI Agents; When you need a comprehensive list of must-read papers on LLM-based agents, including detailed insights into AgentGym, a framework for developing and training LLM agents through reinforcement learning.
When should I avoid ROLL?
Avoid for tasks that prioritize minimalist setups over advanced feature integrations like Alibaba Cloud Function Compute DevPods. Not suitable if you prefer tools without built-in support for converting models between MCoreAdapter and Hugging Face formats.
When should I avoid LLM-Agent-Paper-List?
If you are looking for a tool that focuses on a broader range of AI agent development beyond LLM-based agents, as LLM-Agent-Paper-List is specifically curated for LLM-based agents When you need real-time updates or a dynamic list of papers, as the repository is a static list and does not automatically update with new publications If you require a tool that includes practical code implementations for all listed papers, as the repository primarily serves as a list and does not provide comprehensive code for every paper
Is ROLL or LLM-Agent-Paper-List more popular on GitHub?
LLM-Agent-Paper-List has more GitHub stars (8,222 vs 3,383). Stars measure visibility, not whether either tool fits your constraints.
Are ROLL and LLM-Agent-Paper-List open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to ROLL or LLM-Agent-Paper-List?
GraphCanon lists graph-backed alternatives at ROLL alternatives and LLM-Agent-Paper-List alternatives (ROLL markdown twin, LLM-Agent-Paper-List markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, ROLL or LLM-Agent-Paper-List?
ROLL: Very active. LLM-Agent-Paper-List: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for ROLL and LLM-Agent-Paper-List?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ROLL trust report; LLM-Agent-Paper-List trust report.

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