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 ...
thesun.ng on MSN

NAPPS task members to prioritise digital literacy, STEM education

Seeks investment in professional development for teachersBy Gabriel Dike The National Association of Proprietors of Private Schools (NAPPS) have called on members nationwide to accord top priority to ...
IEEE

Multi-Agent Reinforcement Learning based Warehouse Task Assignment

Abstract: The rise of e-commerce demands greater efficiency in warehouses, requiring dynamic task allocation among humans and robots. Traditional methods often fail in such complex environments. This ...
Interesting Engineering

Video: Muscular humanoid robot folds towel autonomously after watching human

Watch how a US robotics firm trains a dual-arm robot to fold a towel autonomously using vision and human demonstrations.
IEEE

Task Offloading in Internet of Vehicles: A DRL-Based Approach With Representation Learning for DAG Scheduling

Abstract: The rapid evolution of the Internet-of-Vehicles (IoV) has amplified the need for mobile computing resources, driving the shift toward offloading tasks to edge servers or vehicles with idle ...