2025-09-17 · article · Reinforcement Learning in Robotics · en
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This paper is a published article, meaning it has cleared peer review and carries more evidentiary weight than an unreviewed preprint. Its primary topic is reinforcement learning in robotics, and its title frames the work around using reinforcement learning to incentivize reasoning in large language models.
3 cited facts
A small team of three researchers authored this work.
1 cited fact
With 861 citations, this work is already an established reference point in its field, reflecting a high degree of scholarly influence. It draws on 15 references, indicating a tightly scoped engagement with prior literature.
3 cited facts
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning is an article, focusing on Reinforcement Learning in Robotics, published in 2025.
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning has 861 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning and references 15 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
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