Výsledky vyhledávání - "Mills, Edmund"

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Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Autor: Putta, Pranav, Mills, Edmund, Garg, Naman, Motwani, Sumeet, Finn, Chelsea, Garg, Divyansh, Rafailov, Rafael

Large Language Models (LLMs) have shown remarkable capabilities in natural language tasks requiring complex reasoning, yet their application in agentic, multi-step reasoning within interactive environments remains a difficult challenge. Traditional s

Externí odkaz: http://arxiv.org/abs/2408.07199

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ALMANACS: A Simulatability Benchmark for Language Model Explainability

Autor: Mills, Edmund, Su, Shiye, Russell, Stuart, Emmons, Scott

How do we measure the efficacy of language model explainability methods? While many explainability methods have been developed, they are typically evaluated on bespoke tasks, preventing an apples-to-apples comparison. To help fill this gap, we presen

Externí odkaz: http://arxiv.org/abs/2312.12747

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Retrospective on the 2021 BASALT Competition on Learning from Human Feedback

Autor: Shah, Rohin, Wang, Steven H., Wild, Cody, Milani, Stephanie, Kanervisto, Anssi, Goecks, Vinicius G., Waytowich, Nicholas, Watkins-Valls, David, Prakash, Bharat, Mills, Edmund, Garg, Divyansh, Fries, Alexander, Souly, Alexandra, Shern, Chan Jun, del Castillo, Daniel, Lieberum, Tom

We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lifelike Tasks (MineRL BASALT) Competition at the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021). The goal of the competition was to promote researc

Externí odkaz: http://arxiv.org/abs/2204.07123

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