Once the Trump administration took over the reins of government last year, attacks on public land came fast and furious. Elon ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

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Traditional approaches to training agents have generally involved a single, deterministic environment of minimal complexity to solve various tasks such as robot locomotion or computer vision. However, ...

With the increasing integration of renewable energy sources and the presence of numerous controllable loads such as electric vehicles and energy storage in the modern power system, higher ...

Abstract: Cognitive electronic warfare (CEW) has received increasing attention, and it is widely recognized that it will play a significant role. Cognitive jamming decision-making, as one of the ...

Large language models (LLMs) are widely used in various industries and are not just limited to basic language tasks. These models are used in sectors like technology, healthcare, finance, and ...

I tried chapter-11 notebook and ran the A2C algorithm for training. The agent doesnt learn anything. I am pasting the logs below: el 00:00:36, ep 1427, ts 013537, ar 10 001.0±000.0, 100 001.0±000.0, ...