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 ...
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

An Enhanced HCR-Based Approach To Cognitive Task Analysis

Abstract: Cognitive task analysis methods have been extensively applied across various fields since the 1980s. Among these, the GOMS (Goals, Operators, Methods, Selection rules) model stands out as ...
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 ...