arxiv
PublishedJuly 18, 2026 at 4:00 AM
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Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning
Publisher summary· verbatim
arXiv:2607.14171v1 Announce Type: new Abstract: Reinforcement learning has emerged as the dominant paradigm for training large language model (LLM) agents that interact with executable sandboxes. State-of-the-art algorithms such as PPO, RLOO, and GRPO inherit their rollout topology from RLHF: for ea
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Originally published on arxiv ↗