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Reinforcement Learning with Verifiable Rewards (RLVR)

Every Reinforcement Learning with Verifiable Rewards (RLVR) story we've curated in Bowl of Data, newest issue first — part of our weekly digest across AI, security, blockchain, and engineering.

3 items · 2 issues

AI & ML

Week 29 · 2026

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  • Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

    This paper presents the development of Ring-2.5-1T-Zero, a trillion-parameter model trained via zero-shot reinforcement learning to elicit emergent reasoning. The study validates that massive scaling enables models to spontaneously develop complex problem-solving strategies like self-verification without human-annotated data.

    AI & ML HuggingFace Papers Source ↗
  • Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

    This paper presents the development of Ring-2.5-1T-Zero, a trillion-parameter model trained via zero-shot reinforcement learning to elicit emergent reasoning. The study validates that massive scaling enables models to spontaneously develop complex problem-solving strategies like self-verification without human-annotated data.

    AI & ML HuggingFace Papers Source ↗

Week 25 · 2026

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  • APPO: Agentic Procedural Policy Optimization

    This paper proposes APPO, a method to enhance the training of autonomous LLM agents through more granular credit assignment. It moves beyond trajectory-level rewards by identifying and branching at specific high-impact decision points within the reasoning process.

    AI & ML HuggingFace Papers Source ↗