Can RL Improve Generalization of LLM Agents? An Empirical Study | ScienceToStartup | ScienceToStartup

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References (73)

[1]

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

2026Mike A. Merrill, Alexander G Shaw et al.

[2]

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch

2025Yirong Zeng, Xiao Ding et al.

[3]

A Survey on LLM Mid-training

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"This study explores the generalization capabilities of reinforcement fine-tuning in LLM agents across various environments."

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Can RL Improve Generalization of LLM Agents? An Empirical Study

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References (73)

Founder's Pitch

"This study explores the generalization capabilities of reinforcement fine-tuning in LLM agents across various environments."

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Can RL Improve Generalization of LLM Agents? An Empirical Study

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References (73)

Founder's Pitch

"This study explores the generalization capabilities of reinforcement fine-tuning in LLM agents across various environments."

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