This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
If you replay arguments long after they end, your brain may be seeking reward, not resolution. Here’s how dopamine shapes ...
Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.
You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.
Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...
Nemotron-3 Nano (available now): A highly efficient and accurate model. Though it’s a 30 billion-parameter model, only 3 ...
Abstract: We study the use of large language models (LLMs) to integrate high-level knowledge in stochastic games using reinforcement learning with reward machines to encode non-Markovian and Markovian ...
A Deep Reinforcement Learning Approach to Time Delay Differential Game Deception Resource Deployment
Abstract: Current methods for deploying cyber deception do not consider the impact of time delays on the effectiveness of actions by both attackers and defenders, nor can they make real-time decisions ...
1 School of Electronic Information, Hunan First Normal University, Changsha, Hunan, China 2 School of Artificial Intelligence, Shenzhen Polytechnic University, Shenzhen, Guangdong, China With the ...
A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...
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