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

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 ...