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Logan Ritchie

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#artificial intelligence Preprint Oct 2026

Cross-Benchmark Transfer from RL on Agentic Coding Tasks

Coding agents often fail in the last mile: they build most of a feature but drop a requirement, test only the cases their implementation already handles, break behavior that was supposed to stay intact, or validate against an unchecked assumption. We ask whether reinforcement learning (RL) on expert-built agentic codin...

Sushant Mehta, Logan Ritchie, Edwin Chen · 0 citations
Preprint Jul 2026

Cross-Benchmark Generalization in Long-Horizon Agents

Desc descriptive evidence is provided that long-horizon multi-tool post-training can change ways of working that transfer beyond its training domain, and both software-engineering benchmarks improve despite the training collection containing no software-engineering tasks.

Sushant Mehta, Logan Ritchie, Liudas Panavas et al. · 0 citations

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