PPaperPicks

Yunhao Tang

12 papers at tracked venues · 11 at CORE A* · active 2024–2025

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Venues

ICML ×6NeurIPS ×4AAAI ×1AISTATS ×1

Frequent coauthors

Mark Rowland
×7
Rémi Munos
×7
Daniel Guo
×4
Bernardo Ávila Pires
×3
Will Dabney
×3
Daniele Calandriello
×3
Michal Valko
×3
Bilal Piot
×3
Clare Lyle
×2
Zeyu Zheng
×2
Pierre Harvey Richemond
×2
Khimya Khetarpal
×1

Papers

  1. A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
    AISTATS 2025 ·
    Khimya Khetarpal
    ,
    Zhaohan Daniel Guo
    ,
    Bernardo Ávila Pires
    , Yunhao Tang,
    Clare Lyle
    ,
    Mark Rowland
    ,
    Nicolas Heess
    ,
    Diana L. Borsa
    ,
    Arthur Guez
    ,
    Will Dabney
  2. Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
    NeurIPS 2025 ·
    Charles Arnal
    ,
    Gaëtan Narozniak
    ,
    Vivien Cabannes
    , Yunhao Tang,
    Julia Kempe
    ,
    Rémi Munos
  3. Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data
    NeurIPS 2025 · Yunhao Tang,
    Sid Wang
    ,
    Lovish Madaan
    ,
    Rémi Munos
  4. Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
    ICML 2025 ·
    Tyler Kastner
    ,
    Mark Rowland
    , Yunhao Tang,
    Murat A. Erdogdu
    ,
    Amir-massoud Farahmand
  5. Optimizing Language Models for Inference Time Objectives using Reinforcement Learning
    ICML 2025 · Yunhao Tang,
    Kunhao Zheng
    ,
    Gabriel Synnaeve
    ,
    Rémi Munos
  6. A Distributional Analogue to the Successor Representation
    ICML 2024 ·
    Harley Wiltzer
    ,
    Jesse Farebrother
    ,
    Arthur Gretton
    , Yunhao Tang,
    André Barreto
    ,
    Will Dabney
    ,
    Marc G. Bellemare
    ,
    Mark Rowland
  7. Generalized Preference Optimization: A Unified Approach to Offline Alignment
    ICML 2024 · Yunhao Tang,
    Zhaohan Daniel Guo
    ,
    Zeyu Zheng
    ,
    Daniele Calandriello
    ,
    Rémi Munos
    ,
    Mark Rowland
    ,
    Pierre Harvey Richemond
    ,
    Michal Valko
    ,
    Bernardo Ávila Pires
    ,
    Bilal Piot
  8. Human Alignment of Large Language Models through Online Preference Optimisation
    ICML 2024 ·
    Daniele Calandriello
    ,
    Zhaohan Daniel Guo
    ,
    Rémi Munos
    ,
    Mark Rowland
    , Yunhao Tang,
    Bernardo Ávila Pires
    ,
    Pierre Harvey Richemond
    ,
    Charline Le Lan
    ,
    Michal Valko
    ,
    Tianqi Liu
    ,
    Rishabh Joshi
    ,
    Zeyu Zheng
    ,
    Bilal Piot
  9. Learning Uncertainty-Aware Temporally-Extended Actions
    AAAI 2024 ·
    Joongkyu Lee
    ,
    Seung Joon Park
    , Yunhao Tang,
    Min-hwan Oh
  10. Nash Learning from Human Feedback
    ICML 2024 ·
    Rémi Munos
    ,
    Michal Valko
    ,
    Daniele Calandriello
    ,
    Mohammad Gheshlaghi Azar
    ,
    Mark Rowland
    ,
    Daniel Guo
    , Yunhao Tang,
    Matthieu Geist
    ,
    Thomas Mesnard
    ,
    Côme Fiegel
    ,
    Andrea Michi
    ,
    Marco Selvi
    ,
    Sertan Girgin
    ,
    Nikola Momchev
    ,
    Olivier Bachem
    ,
    Daniel J. Mankowitz
    ,
    Doina Precup
    ,
    Bilal Piot
  11. Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
    NeurIPS 2024 ·
    Mark Rowland
    ,
    Kevin Kevin Li
    ,
    Rémi Munos
    ,
    Clare Lyle
    , Yunhao Tang,
    Will Dabney
  12. On scalable oversight with weak LLMs judging strong LLMs
    NeurIPS 2024 ·
    Zachary Kenton
    ,
    Noah Y. Siegel
    ,
    János Kramár
    ,
    Jonah Brown-Cohen
    ,
    Samuel Albanie
    ,
    Jannis Bulian
    ,
    Rishabh Agarwal
    ,
    David Lindner
    , Yunhao Tang,
    Noah D. Goodman
    ,
    Rohin Shah