Categories: FAANG

Reinforcement Learning for Long-Horizon Interactive LLM Agents

Interactive digital agents (IDAs) leverage APIs of stateful digital environments to perform tasks in response to user requests. While IDAs powered by instruction-tuned large language models (LLMs) can react to feedback from interface invocations in multi-step exchanges, they have not been trained in their respective digital environments. Prior methods accomplish less than half of tasks in sophisticated benchmarks such as AppWorld. We present a reinforcement learning (RL) approach that trains IDAs directly in their target environments. We formalize this training as a partially observable Markov…
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Krea co-founder is considering open-sourcing their new model trained in collaboration with Black Forest Labs – Maybe go there and leave an encouraging comment?

https://preview.redd.it/j6qshjdiao7f1.jpg?width=1182&format=pjpg&auto=webp&s=9f5da751e086c7c3a8cd882f5b7648211daae50c https://reddit.com/link/1leexi9/video/bs096nikao7f1/player Link to the post: https://x.com/viccpoes/status/1934983545233277428 submitted by /u/LatentSpacer [link] [comments]

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