AlphaGalileo

A Review on Multi-View Learning

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
IEEE

YOLOP-MVF: A Multi-Task Autonomous Driving Perception Detection Method Based on Multi Scale Feature Weighted Fusion

Abstract: To address challenges such as large-scale variations, background interference, and occlusions in multi-task autonomous driving perception, this paper proposes YOLOP-MVF, a multi-task ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Robots learn 1,000 tasks in one day from a single demo

Scientists achieve major robotics milestone as robot learns 1,000 different physical tasks in single day, potentially ...
IEEE

DTHV-PPO: A UAV Control Method with Dynamic Task Goal Adaptation and High- Value Experience-Guided Replay Based on PPO

Abstract: With the rapid development of UAV technology, its control techniques are increasingly applied to complex tasks requiring advanced autonomy. However, existing algorithms are predominantly ...
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 ...