Popular GitHub Repositories for Arena Fighter

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

Windows Agent Arena (WAA) ? is a scalable OS platform for testing and benchmarking of multi-modal AI agents.

Long Range Arena for Benchmarking Efficient Transformers

An awesome list of best top AI directories to submit your ai tools

Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, BLIP-2, and many more!

? Discover and explore the best AI tools for various needs, from generative models to productivity enhancements, all in one curated collection.

Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena

4th Place Solution for the Kaggle Competition: LMSYS - Chatbot Arena Human Preference Predictions

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

Self driving car AI in road fighter world

An open-ended agent evolution arena and a large-scale multi-agent social simulation experiment

Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)

Interface for GenAI-Arena

Computer Agent Arena Hub: Compare & Test AI Agents on Crowdsourced Real-World Computer Use Tasks

A Streamlit-based Chatbot Arena for Ollama LLMs

Compare models pairwise via multi‑round conversational evaluations for SE tasks.

用于竞技场 RAG 排行榜 (NAACL'25) 的多语言生成、RAG 评估和替代裁判训练的代码库

A collection of my implemented advanced & complex RL agents for games like Soccer, Street Fighter, Mortal Kombat, Rubik's Cube, Vizdoom, Montezuma, Kungfu-master, Super-Mario-bros, HalfCheetah and more by implementing advanced DRL concepts like decision transformers, RND, MARL, A3C, ICM & sample_factory. To see my other rl agents please visit

The goal of the project is to make a robot plan its path from a source to the destination and reach the destination only by evidence and its previous transition.