The approach promises faster development and adaptive performance. Traditional controllers often take months of expert tuning ...

Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...

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As a true milestone on the path to autonomous space systems, a research team at Julius-Maximilians-Universität Würzburg (JMU) ...

Deep reinforcement learning is one of the most interesting branches ofartificial intelligence. It is behind some of the most remarkable achievements of the AI community, including beating human ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Deep neural networks will move past their ...

Ashutosh Trivedi, an assistant professor in the Department of Computer Science at CU Boulder, is working to democratize artificial intelligence by making machine learning more programmable, ...

New research has linked estrogen to previously undetected molecular changes related to dopamine, guiding learning and ...