S-trace adds sparse eligibility traces to RLVR that mask low-entropy tokens, outperforming GRPO by 0.49-3.16% pass@16 on Qwen3 models while improving sample and token efficiency.
Sutton, and Satinder P
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
AdaGamma stabilizes state-dependent discounting in deep actor-critic RL by adding a return-consistency regularizer, delivering gains on continuous-control benchmarks and a real-world logistics A/B test.
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Beyond Uniform Credit Assignment: Selective Eligibility Traces for RLVR
S-trace adds sparse eligibility traces to RLVR that mask low-entropy tokens, outperforming GRPO by 0.49-3.16% pass@16 on Qwen3 models while improving sample and token efficiency.
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AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning
AdaGamma stabilizes state-dependent discounting in deep actor-critic RL by adding a return-consistency regularizer, delivering gains on continuous-control benchmarks and a real-world logistics A/B test.