IEEE

Learning a Flexible Neural Energy Function With a Unique Minimum for Globally Stable and Accurate Demonstration Learning

Abstract: Learning a stable autonomous dynamic system (ADS) encoding human motion rules has been shown as an effective way for demonstration learning. However, the stability guarantee may sacrifice ...
IEEE

Parallel Placement of Virtualized Network Functions via Federated Deep Reinforcement Learning

Abstract: Network Function Virtualization (NFV) introduces a new network architecture that offers different network services flexibly and dynamically in the form of Service Function Chains (SFCs), ...

Here's how Google is quietly reimagining how you use your Android phone

Google is building Android for an AI-first future. Here's how Google wants Gemini to work across apps behind the scenes with ...