AI agent tagged posts

DeepMind introduces AI agent that learns to complete various tasks in a scalable world model

DeepMind introduces an AI agent that learns to complete various tasks in a scalable world model
Dreamer 4 learns to solve complex control tasks by reinforcement learning inside of its world model. We decode the imagined training sequences for visualization, showing that the world model has learned to simulate a wide range of game mechanics from low-level mouse and keyboard actions, including breaking blocks, using tools, and interacting with crafting tables. Credit: arXiv (2025). DOI: 10.48550/arxiv.2509.24527

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks...

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Delphi experiment tries to equip an AI agent with moral judgment

The Delphi experiment tries to equip an AI agent with moral judgement
Theoretical and computational frameworks of Delphi. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-024-00969-6.

Advanced artificial intelligence (AI) tools, including LLM-based conversational agents such as ChatGPT, have become increasingly widespread. These tools are now used by countless individuals worldwide for both professional and personal purposes.

Some users are now also asking AI agents to answer everyday questions, some of which could have ethical and moral nuances. Providing these agents with the ability to discern between what is generally considered ‘right’ and ‘wrong’, so that they can be programmed to only provide ethical and morally sound responses, is thus of the utmost importance.

Researchers at the University of Washington, the Allen Institut...

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