arxiv
PublishedJune 11, 2026 at 4:00 AM
—neutral
Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning
Publisher summary· verbatim
arXiv:2603.14867v4 Announce Type: replace-cross Abstract: Many strategic decision-making problems, such as environment design for warehouse robots, can be naturally formulated as bi-level reinforcement learning (RL), where a leader agent optimizes its objective while a follower solves a Markov decis
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning23harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!23harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation23harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions23hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗