GitHub

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...
IEEE

Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization

Abstract: Federated learning (FL) is a promising paradigm that can enable collaborative model training between vehicles while protecting data privacy, thereby significantly improving the performance ...
Tech Times

Why iPhones Feel Smooth With Less RAM: How iOS RAM Optimization Boosts Performance

Phone smooth performance stays fluid with less RAM thanks to iOS RAM optimization, tight hardware integration, and smarter ...
GitHub

SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations

This repository contains the official implementation code for SCAIL (Studio-Grade Character Animation via In-Context Learning), a framework that enables high-fidelity character animation under diverse ...
MobiGyaan

OnePlus Pad Go 2 Review – The Android Tablet Most People Need

OnePlus has refreshed its affordable tablet lineup in India with the launch of the OnePlus Pad Go 2, alongside the debut of the OnePlus 15R. The OnePlus Pad ...
IEEE

Competitive Multitasking Sampling With Deep Reinforcement Learning for Surrogate-Assisted Constrained Multiobjective Optimization

Abstract: When solving expensive constrained multiobjective optimization problems by surrogate-assisted evolutionary algorithms, the evolutionary sampling method is utilized to select valuable ...