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Author

Shivaram Venkataraman

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#machine learning Preprint Sep 2026

Where the Model Changes Its Mind: Hindsight-Divergence Localization for Efficient Reinforcement Learning with Verifiable Rewards

Group-relative methods for reinforcement learning with verifiable rewards (RLVR) learn from differences in rollout outcomes. Independently sampling complete trajectories is costly and does not explicitly explore the decision space at critical positions. Feedback on a completed trajectory can reveal which earlier choice...

Fan-Chao Chen, Heng-Yu Fu, Shivaram Venkataraman et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Towards Full Pipeline FP8 Reinforcement Learning for LLMs

Reinforcement learning (RL) has become a key technique for improving the reasoning and agentic abilities of large language models (LLMs). Although FP8 quantization can accelerate RL training, maintaining stability throughout an FP8 RL pipeline remains challenging. While previous works have focused on resolving train-in...

Fan Chen, Ziheng Jiang, Zi-Yun Wei et al. · 0 citations

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