Teachers and AI working together can deliver massive educational and learning benefits, argues Pearson CEO Omar Abbosh.

Performing common tasks gracefully can make life go more smoothly. Watching several hundred adolescents filling out forms ...

This indicates that our model is able to explore more freely during training, learning better policy through RL. Our two approaches both achieve non-trivial improvements across all benchmarks.

Abstract: Constant false-alarm rate Block-sparse Bayesian learning (CFAR-BSBL) algorithm is proposed to reduce the computational complexity and improve Direction of arrival (DOA) estimation accuracy ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom ...

The Importance of Symbolic Reasoning in World Modeling Understanding how the world works is key to creating AI agents that can adapt to complex situations. While neural network-based models, such as ...