AgentIndex icon
AgentIndex
GPA-LM logo
GPA-LM
★ 161
vs
AWorld logo
AWorld
★ 1.2k

GPA-LM vs AWorld

GPA-LM: This repository serves as a comprehensive collection of research papers focused on the intersection of game-playing agents and large language models. It covers various methods, applications, and challenges, providing a dynamic timeline of recent advancements in the field of LLM-based agents for games.; AWorld: AWorld is an open-source framework for building and evolving intelligent agents within rich, complex environments. It provides core components for agentic learning, including environment access, agent construction, experience retrieval, and model training.

01

TL;DR

GPA-LM logo
GPA-LMVision / Multimodal · ★ 161

Staying updated with the latest research in LLM-based game agents.

Read GPA-LM full review →
AWorld logo
AWorldMulti-Agent · ★ 1.2k

Agent Benchmarking (e.g., GAIA, OSWorld, VisualWebArena)

Read AWorld full review →
02

Side-by-Side Comparison

Field
GPA-LM logoGPA-LM
AWorld logoAWorld
Category
Vision / Multimodal
Multi-Agent
Stars
★ 161
★ 1.2k
License
—
MIT
Install Command
git clone https://github.com/BAAI-Agents/GPA-LM.git
pip install -e .
Updated
2y ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Large Language Models, Game AI, Multi-Agent Systems
Multi-Agent Systems, AI Agents, Large Language Models
03

Features

GPA-LM logoGPA-LM
01Curated list of research papers on Game Playing Agents and Large Models.
02Regular updates with the latest papers and associated code/projects.
03Categorized by publication month for easy chronological tracking.
04Provides direct links to arXiv PDFs and project pages.
05Covers diverse topics within LLM-based game agents, including multi-agent systems and embodied AI.
AWorld logoAWorld
01Online Access to Complex Environments
02Efficient Agent Construction
03Comprehensive Experience Trajectory Capture
04Flexible Model Training Modes
05Meta-Learning for Agent System Evolution
04

Use Cases

GPA-LM logoGPA-LM
↳Staying updated with the latest research in LLM-based game agents.
↳Discovering relevant papers and codebases for academic research or project development.
↳Understanding the evolution and trends of Large Language Models in game playing.
AWorld logoAWorld
↳Agent Benchmarking (e.g., GAIA, OSWorld, VisualWebArena)
↳Complex Problem Solving (e.g., IMO Math Problems)
↳Automated Deep Research and Web Navigation
05

Best For

GPA-LM logoGPA-LM
Hidden Gem
AWorld logoAWorld
EssentialTrending
FAQ

FAQ

What is the difference between GPA-LM and AWorld?
Both GPA-LM and AWorld are in the Vision / Multimodal category. GPA-LM has 161 stars, while AWorld has 1.2k stars.
Which is better, GPA-LM or AWorld?
The best choice depends on your use case. Choose GPA-LM if Staying updated with the latest research in LLM-based game agents., and AWorld if Agent Benchmarking (e.g., GAIA, OSWorld, VisualWebArena).
Is GPA-LM free or open source?
Yes, GPA-LM is open source on GitHub.
Is AWorld free or open source?
Yes, AWorld is open source on GitHub (MIT).
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