AgileRL logo
AgileRL
★ 960
vs
rllm logo
rllm
★ 5.9k

AgileRL vs rllm

AgileRL: AgileRL is a Deep Reinforcement Learning library that streamlines development by introducing RLOps, or MLOps for reinforcement learning. It significantly reduces training time and hyperparameter optimization using pioneering evolutionary techniques, offering up to 10x faster optimization than state-of-the-art methods.; rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.

01

TL;DR

AgileRL logo
AgileRLLLM Infra · ★ 960

Training single-agent tasks in standard Gymnasium environments.

rllm logo
rllmLLM Infra · ★ 5.9k

Training powerful coding models for tasks like code generation and bug fixing.

02

Side-by-Side Comparison

Field
AgileRL logoAgileRL
rllm logorllm
Category
LLM Infra
LLM Infra
Stars
★ 960
★ 5.9k
License
Apache-2.0
Apache-2.0
Install Command
pip install agilerl
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
Reinforcement Learning, Deep Learning, Hyperparameter Optimization
Reinforcement Learning, Language Agents, LLM
03

Features

AgileRL logoAgileRL
01RLOps integration for streamlined reinforcement learning development.
02Pioneering evolutionary hyperparameter optimization (HPO) techniques.
03Comprehensive suite of evolvable on-policy, off-policy, offline, multi-agent, and contextual multi-armed bandit algorithms.
04Support for distributed training.
05Algorithms for Large Language Model (LLM) finetuning.
rllm logorllm
01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
04

Use Cases

AgileRL logoAgileRL
↳Training single-agent tasks in standard Gymnasium environments.
↳Developing multi-agent reinforcement learning solutions in PettingZoo environments.
↳Fine-tuning Large Language Models (LLMs) with reinforcement learning algorithms.
rllm logorllm
↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
05

Best For

AgileRL logoAgileRL
TrendingHidden Gem
rllm logorllm
Trending
FAQ

FAQ

What is the difference between AgileRL and rllm?
Both AgileRL and rllm are in the LLM Infra category. AgileRL has 960 stars, while rllm has 5.9k stars.
Which is better, AgileRL or rllm?
The best choice depends on your use case. Choose AgileRL if Training single-agent tasks in standard Gymnasium environments., and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is AgileRL free or open source?
Yes, AgileRL is open source on GitHub (Apache-2.0).
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
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