Disney invited us to its Imagineering offices to meet the incredibly impressive next-generation robotic figure of Olaf that will soon be walking, talking, and interacting with guests at World of ...

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in which we can improve their training to avoid having them develop these ...

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...

Abstract: In multi-agent systems, agents interact in a shared environment with partially conflicting interests, which makes equilibrium strategy learning a central challenge. Traditional approaches to ...

Illustration of three stages in a game of Nim Many AI researchers describe game-playing as the "Formula 1" of AI: it's a controlled test environment ...

Former Blizzard veteran Jeff Kaplan now runs a new studio called Kintsugiyama, which just announced its first game, The ...

New research published in Machine Learning shows pattern learning is not enough to train AI to tackle games—and abstract representations or hybrid approaches may help. Many AI researchers describe ...

DeepMind’s AlphaProof system solved four out of six problems at the 2024 International Mathematical Olympiad, generating ...

The integration of advanced technologies into the energy sector has led to the emergence of smart grids, which promise enhanced efficiency, reliability, and sustainability in electricity distribution.

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...