Papers5

#procedural generation

AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games

Lance Ying, Ryan Truong et al.Feb 19arXiv

The paper argues that the fairest way to check how generally smart an AI is, is to see how quickly and well it learns lots of different human-made games, just like a person with the same time and practice.

#general intelligence#evaluation benchmark#game-based testing

SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation

Intermediate

Kushal Kedia, Tyler Ga Wei Lum et al.Feb 18arXiv

SimToolReal teaches a robot hand to use many different tools by practicing in simulation and then working in the real world without extra training.

#dexterous manipulation#sim-to-real reinforcement learning#goal-conditioned policy

Endless Terminals: Scaling RL Environments for Terminal Agents

Intermediate

Kanishk Gandhi, Shivam Garg et al.Jan 23arXiv

Endless Terminals is an automatic factory that builds thousands of realistic, checkable computer-terminal tasks so AI agents can practice and improve with reinforcement learning.

#reinforcement learning#PPO#terminal agents

World Craft: Agentic Framework to Create Visualizable Worlds via Text

Intermediate

Jianwen Sun, Yukang Feng et al.Jan 14arXiv

World Craft lets anyone turn a short text description into a playable, visual game world without coding.

#AI Town#multi-agent framework#layout generation

Web World Models

Intermediate

Jichen Feng, Yifan Zhang et al.Dec 29arXiv

This paper introduces Web World Models (WWMs), a way to build huge, explorable worlds by putting strict rules in code and letting AI write the fun details.

#Web World Model#typed interfaces#deterministic hashing