Abstract: While reinforcement learning (RL) has shown experimental success in a number of applications, it is known to be sensitive to noise and perturbations in the parameters of the system, leading ...

Abstract: In federated learning, selecting participating devices (clients) is critical due to their inherent diversity. Clients typically hold non-IID data and possess varying computational and ...

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.

Witness a new era in heritage conservation as engineers blend cutting-edge technology with traditional architecture for ...