Stanford Iris Lab Github

Stanford Iris Lab Github Stanford iris lab has 11 repositories available. follow their code on github. We are the iris lab at stanford. we are interested in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction.

Github Stanford Iris Lab Vlm Pc We introduce meta harness, an outer loop system that searches over harness code for llm applications. it uses an agentic proposer that accesses the source code, scores, and execution traces of all prior candidates through a filesystem. We first present mobile aloha, a low cost and whole body teleoperation system for data collection. it augments the aloha system with a mobile base, and a whole body teleoperation interface. Stanford iris lab has 10 repositories available. follow their code on github. Meta harness extends the terminus kira agent with environment bootstrapping: before the agent loop starts, it gathers a snapshot of the sandbox environment (working directory, file listing, available languages tools, package managers, memory) and injects it into the initial prompt.

Iris Lab Nsysu Github Stanford iris lab has 10 repositories available. follow their code on github. Meta harness extends the terminus kira agent with environment bootstrapping: before the agent loop starts, it gathers a snapshot of the sandbox environment (working directory, file listing, available languages tools, package managers, memory) and injects it into the initial prompt. Stanford iris lab has 9 repositories available. follow their code on github. Concretely, we propose an exploration technique, batch exploration with examples (bee), that explores relevant regions of the state space, guided by a modest number of human provided images of important states. Contribute to stanford iris lab segmenting feats development by creating an account on github. A lightweight reproduction of "meta harness: end to end optimization of model harnesses" (arxiv:2603.28052). meta harness is an automated search framework that uses an ai coding agent (ducc claude code) as a proposer to iteratively generate, evaluate, and improve "harness" programs. each harness is a standalone python file that wraps a fixed llm with a context management strategy (e.g., few.