Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

With the rising number of mobile users and the large set of critical applications, such as Internet of Things, Smart Grid, and Smart Cities, it is fundamental to wisely and efficiently allocate the ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...

One of the most noteworthy artificial intelligence trends in 2018 has been the maturation of reinforcement learning into a mainstream approach for building and training statistical models to do useful ...

DeepMind Technologies Ltd, Alphabet Inc.’s artificial intelligence research group, is sharing more of its work with the world. The division today open-sourced a collection of “key algorithmic ...

Two years ago, Alphabet researchers made computing history when their artificial intelligence software AlphaGo defeated a world champion at the complex board game Go. Amazon now hopes to democratize ...

The power of machine learning comes at a price. Once you have the skills, the toolkit, the hardware, and the data, there is still the complexity involved in creating and fine-tuning a machine learning ...