Yunhao Tang

Venues

Frequent coauthors

Papers

1. A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
   AISTATS 2025 ·

   Khimya Khetarpal

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2. Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
   NeurIPS 2025 ·

   Charles Arnal

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3. Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data
   NeurIPS 2025 · Yunhao Tang
4. Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
   ICML 2025 ·

   Tyler Kastner

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5. Optimizing Language Models for Inference Time Objectives using Reinforcement Learning
   ICML 2025 · Yunhao Tang
6. A Distributional Analogue to the Successor Representation
   ICML 2024 ·

   Harley Wiltzer

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7. Generalized Preference Optimization: A Unified Approach to Offline Alignment
   ICML 2024 · Yunhao Tang
8. Human Alignment of Large Language Models through Online Preference Optimisation
   ICML 2024 ·

   Daniele Calandriello

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9. Learning Uncertainty-Aware Temporally-Extended Actions
   AAAI 2024 ·

   Joongkyu Lee

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10. Nash Learning from Human Feedback
    ICML 2024 ·

    Rémi Munos

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11. Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
    NeurIPS 2024 ·

    Mark Rowland

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12. On scalable oversight with weak LLMs judging strong LLMs
    NeurIPS 2024 ·

    Zachary Kenton

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