RESEARCHMonitorWATCHLIST
ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose Progress Credit, an agentic reinforcement learning method improving training signals for long-horizon tool use.
Inspect the evidence
- Inclusion basis
- AI in finance
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 24 September 2026
- Collected by OneBench
- 25 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.27532v1 Announce Type: cross Abstract: Long-horizon agentic tasks require an agent to modify an environment through a sequence of tool calls, with success determined by…
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