arxiv
PublishedOctober 31, 2026 at 4:00 AM
Design the Feedback, Not Just the Reward: Environments for Open-Ended Reinforcement Learning
Publisher summary· verbatim
arXiv:2608.27906v4 Announce Type: replace Abstract: Reinforcement learning has advanced large language models on tasks with reliable verifiers, where checking an outcome provides a clear basis for reward. Extending this approach to open-ended tasks requires environments that can both evaluate comple
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Originally published on arxiv ↗