IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL | ScienceToStartup | ScienceToStartup

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References (30)

[1]

POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration

2026Yuxiao Qu, Amrith Rajagopal Setlur et al.

[2]

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

2025Zhiyuan Zeng, Hamish Ivison et al.

[3]

The Art of Scaling Reinforcement Learning Compute for LLMs

Founder's Pitch

"This paper provides insights into compute allocation for RL post-training of LLMs but lacks practical implementation details."

LLM Training•Score: 2•View PDF ↗

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IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL

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References (30)

Founder's Pitch

"This paper provides insights into compute allocation for RL post-training of LLMs but lacks practical implementation details."

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IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL

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References (30)

Founder's Pitch

"This paper provides insights into compute allocation for RL post-training of LLMs but lacks practical implementation details."

Commercial Viability Breakdown

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