Abstract: Large Language Models (LLMs) have shown great success as high-level planners for zero-shot game-playing agents However, these agents are primarily evaluated on games where long-term planning ...

Members of the Legendary Computer Bugs Tribunal, honored guests, if I may have your attention? I would, humbly, submit a new contender for your esteemed judgment. You may or may not find it novel, you ...

Abstract: Roguelike games generally feature exploration problems as a critical yet often repetitive element of gameplay. Automated approaches, however, face challenges in terms of optimality, as well ...

This world is open-ended, arguably the most open-ended world ever. If you were born and raised in an era of graphics and physics engines, you'd be forgiven for believing such superlatives referred to ...

Nethack is one of the great (and ongoing) gaming projects. It first appeared in 1987 as a fork of a 1982 title, Hack, created by Mike Stephenson, Izchak Miller and Janet Walz. The game operated on an ...

The NetHack Learning Environment (NLE) is a Reinforcement Learning environment presented at NeurIPS 2020. NLE is based on NetHack 3.6.6 and designed to provide a standard RL interface to the game, and ...

Games are one of the best testbeds for AI as they require problem-solving, forward-thinking, and other skills that normally only humans possess. So far, AI has gotten a handle on games like Go and up ...

Machine learning models have already mastered Chess, Go, Atari games and more, but in order for it to ascend to the next level, researchers at Facebook intend for AI to take on a different kind of ...

Real time strategy, role playing and building games have become fertile training grounds for cutting edge artificial intelligence systems in recent years with digital competitors easily besting their ...