("MINDS" comes from Multi-agent INdustrial Decision-making System)
We develop intelligent decision-making methods for complex industrial systems, with a focus on machine learning, optimization, game theory, and simulation. Our goal is to create decision-making algorithms and pipelines that are both theoretically rigorous and effective in real-world industrial environments.
HAMLET is a lightweight, all-in-one framework for building and iterating on LLM agents. It lets you define agents, launch a GUI, instrument runs, and fine-tune models via SFT and RLVR.
This repository collects reference code for several multi-agent and distributed contextual bandit algorithms.
A ROS package for detecting planar grasp rectangles from RGB-D images and converting them into robot gripper poses using depth information.
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