RESEARCHMonitorWATCHLIST
ArenaFlow: From Trajectory Ranking to Hierarchical Credit Propagation for Open-Ended Agent RL
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose ArenaFlow, using hierarchical credit propagation for reinforcement learning in open-ended LLM agent tasks.
Inspect the evidence
- Inclusion basis
- AI in finance
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 21 September 2026
- Collected by OneBench
- 22 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.21378v1 Announce Type: new Abstract: Reinforcement learning has substantially improved large language model (LLM) agents in verifiable domains, but remains difficult to apply to open-ended…
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