DeepMind Blog
May 20, 2025
Our vision for building a universal AI assistant
We’re extending Gemini to become a world model that can make plans and imagine new experiences by simulating aspects of the world.
SIMA 2: An Agent that Plays, Reasons, and Learns With You in Virtual 3D Worlds
Introducing SIMA 2, a Gemini-powered AI agent that can think, understand, and take actions in interactive environments.
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arXiv AI
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CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
arXiv:2608. 09848v1 Announce Type: new Abstract: The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interactive virtual environments remains a challenge, even with today's advancements in technology.
DeepMind Blog
Oct 23, 2025
Gemini Robotics 1.5 brings AI agents into the physical world
We’re powering an era of physical agents — enabling robots to perceive, plan, think, use tools and act to better solve complex, multi-step tasks.
DeepMind Blog
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Project Genie: Experimenting with infinite, interactive worlds
Google AI Ultra subscribers in the U. S.
arXiv AI
Jun 2
Coding Agent Is Good As World Simulator
arXiv:2605. 14398v2 Announce Type: replace Abstract: World models have emerged as a powerful paradigm for building interactive simulation environments, with recent video-based approaches demonstrating impressive progress in generating visually plausible dynamics.
arXiv AI
Jul 8
A Definition and Roadmap for World Models
arXiv:2607. 06401v1 Announce Type: new Abstract: World models -- internal simulators that learn the structure and dynamics of an environment -- have become one of the most actively debated concepts in AI.
Hugging Face Trending Papers
Jul 7
A Definition and Roadmap for World Models
World models -- internal simulators that learn the structure and dynamics of an environment -- have become one of the most actively debated concepts in AI. From model-based reinforcement learning and video generation to embodied robotics and ultimately, physical AI, researchers across AI subfields are building systems that they call "world models", yet there is no consensus on what a world model fundamentally is, what it should predict, or how it should be built.
arXiv AI
Jun 15
YeasierAgent: Agentic Social Sandbox as a Canvas for Intent-Driven Creation of Platform-Agnostic Symbiotic Agent-Native Applications
arXiv:2606. 13722v1 Announce Type: new Abstract: This paper introduces YeasierAgent, an application-building paradigm based on symbiotic agents, narrative worlds, and scene-aware interaction.
arXiv AI
Jul 31
CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games
arXiv:2607. 26393v1 Announce Type: new Abstract: Social deduction games (SDGs) such as Werewolf have become challenging testbeds for AI agents.
OpenAI Blog
Dec 5, 2016
Universe
We’re releasing Universe, a software platform for measuring and training an AI’s general intelligence across the world’s supply of games, websites and other applications.
arXiv AI
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Towards the Harness of Embodied Agents
arXiv:2608. 11246v1 Announce Type: new Abstract: The success of coding agents has established the harness as a paradigm: what an agent achieves depends not on the model alone, but on the infrastructure around it.
arXiv AI
Jun 19
Augmenting Game AI with Deep Reinforcement Learning
arXiv:2606. 20210v1 Announce Type: new Abstract: Immersion in video games depends not only on graphics, audio, and game mechanics, but also on the quality of in-game characters.