Voyager: An Open-Ended Embodied Agent with Large Language Models · HackerPapers discussions

Voyager: An Open-Ended Embodied Agent with Large Language Models — mentioned by kbdiaz

Mon, 19 Jan 2026 06:50:27 GMT

sounds like it could be many things. there was a well-known paper called Voyager by NASA in which an agent was able to write its own skills in the form of code and improve them over time. funnily enough this agent played minecraft, and its skills were to collect materials or craft things. https://arxiv.org/abs/2305.16291

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Voyager: An Open-Ended Embodied Agent with Large Language Models — mentioned by mitjam

Tue, 02 Sep 2025 15:20:10 GMT

I think LLM as a toolsmith like demonstrated in the Voyager paper (1) is another interesting approach to creating a system that can learn to do a task better over time. (1) https://arxiv.org/abs/2305.16291

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Voyager: An Open-Ended Embodied Agent with Large Language Models — mentioned by edunteman

Wed, 14 May 2025 23:47:29 GMT

This is very similar to what Voyager did https://arxiv.org/abs/2305.16291 Their implementation uses actual code, JS scripts in their case, as the stored trajectories, which has the neat feature of parameterization built in so trajectories are more reusable. I experimented with this for a bit for Muscle Mem, but a trajectory being performed by just-in-time generated scripts felt too magical and wild west. An explicit goal of Muscle Mem is to be a deterministic system, more like a DB, on which you as a user can layer as much nondeterminism as you feel comfortable with.

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Voyager: An Open-Ended Embodied Agent with Large Language Models — mentioned by exe34

Fri, 15 Mar 2024 21:34:55 GMT

> but this is never learned permanently. Are you sure? I think "Open"AI uses the chat transcripts to help the next training run? > they are doomed to only learn what they were pre-trained with Fine-tuning. > The training data for this does not exist What does "this" refer to? Have you read the Voyager paper? (https://arxiv.org/abs/2305.16291) Any lesson learnt in the library could be used for fine-tuning or the next training run for a base model. > what would be needed would be the inner thoughts (predictions) of developers as they tackled a variety of tasks and were presented with various…

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Voyager: An Open-Ended Embodied Agent with Large Language Models — mentioned by throwaway4aday

Wed, 22 Nov 2023 16:57:36 GMT

Cute, there are a number of people and labs working on integrating GPT models with robotics. I think you'd need to train a model on prompt-action pairs to get the best results but you could potentially do what they did in the Voyager paper https://arxiv.org/abs/2305.16291 and have a pre-trained LLM just write the raw programs to control the robot and then save and re-use them with function calling. https://www.microsoft.com/en-us/research/group/autonomous-sy... https://www.microsoft.com/en-us/research/group/applied-robot... https://blogs.nvidia.com/blog/eureka-robotics-research/…

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Voyager: An Open-Ended Embodied Agent with Large Language Models — mentioned by throwaway4aday

Wed, 16 Aug 2023 21:32:03 GMT

Just dropping this here since it looks like a lot of people haven't heard of it. Voyager: An Open-Ended Embodied Agent with Large Language Models https://arxiv.org/abs/2305.16291

Paper and discussion history. A mention is not an endorsement.