Code and Data for paper "GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?"

A Call of Duty-quality FPS in Three.js, built from a single prompt.

A Survey on Large Language Model-Based Game Agents (ACM CSUR)

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents

A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-writ…

Turn any agent into a life science expert with NVIDIA BioNeMo skills.

AI demo for playing ARPG/Soul-like game with RL frame

AgentSims is an easy-to-use infrastructure for researchers from all disciplines to test the specific capacities they are interested in.

The official repo for "CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models"

💻 Terminal-Agent with Human-in-the-Loop Learning

Multi-agent synthetic data generation pipeline capable of generating and validating long horizon terminal/coding tasks for RL training

The official repository for "Rongsheng Wang's Arxiv Template"

SkyRL: A Modular Full-stack RL Library for LLMs

Interleaving Reasoning: Next-Generation Reasoning Systems for AGI

Defeating the Training-Inference Mismatch via FP16

[ICML'26] Scaling Long-Horizon LLM Agent via Context-Folding

slime is an LLM post-training framework for RL Scaling.

User Profile-Based Long-Term Memory for AI Chatbot Applications.

A tool for exploring each layer in a docker image

Docker image registry for SWE-bench, created by Epoch AI.

Fast, Flexible and Portable Structured Generation

Cost-efficient and pluggable Infrastructure components for GenAI inference

A curated list of papers related to constrained decoding of LLM, along with their relevant code and resources.

☑️ A simple and extensible shell script for managing your todo.txt file.

A Tool to Visualize Claude Code's LLM Interactions

The official github repo for "Diffusion Language Models are Super Data Learners".