SCPO recovers step-level credit from successful siblings within rollout groups to reduce semantic inconsistency in group-based RL for LLM agents, matching or exceeding baselines on ALFWorld and WebShop.
Agentrm: Enhancing agent generalization with reward modeling
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
AgentXRay formulates workflow reconstruction as combinatorial optimization and uses Monte Carlo Tree Search with Red-Black Pruning to approximate black-box agent behaviors via output-based proxy metrics.
citing papers explorer
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Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents
SCPO recovers step-level credit from successful siblings within rollout groups to reduce semantic inconsistency in group-based RL for LLM agents, matching or exceeding baselines on ALFWorld and WebShop.
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AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
AgentXRay formulates workflow reconstruction as combinatorial optimization and uses Monte Carlo Tree Search with Red-Black Pruning to approximate black-box agent behaviors via output-based proxy metrics.