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Yuanheng Zhu

Identifiers

  • name variant Yuanheng Zhu 0.60 · backfill

Papers (22)

  1. Are Full Rollouts Necessary for On-Policy Distillation? cs.CL · 2026 · author #9
  2. $\pi$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data cs.LG · 2026 · author #2
  3. Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes cs.LG · 2026 · author #6
  4. R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability cs.LG · 2025 · author #3
  5. Empowering Multi-Robot Cooperation via Sequential World Models cs.RO · 2025 · author #6
  6. SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning cs.CL · 2025 · author #9
  7. DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy cs.AI · 2025 · author #5
  8. RLAE: Reinforcement Learning-Assisted Ensemble for LLMs cs.LG · 2025 · author #2
  9. CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration cs.MA · 2024 · author #2
  10. Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement cs.LG · 2024 · author #4
  11. Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning cs.LG · 2024 · author #3
  12. FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game cs.AI · 2024 · author #2
  13. Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information cs.GT · 2023 · author #2
  14. NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks cs.RO · 2023 · author #5
  15. A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat cs.AI · 2022 · author #3
  16. NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios cs.MA · 2022 · author #2
  17. UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios cs.MA · 2022 · author #3
  18. Empirical Policy Optimization for $n$-Player Markov Games cs.GT · 2021 · author #1
  19. Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint cs.MA · 2020 · author #2
  20. Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition cs.AI · 2020 · author #2
  21. A Survey of Deep Reinforcement Learning in Video Games cs.MA · 2019 · author #3
  22. StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning cs.AI · 2018 · author #2

Mentions

  • 2506.19767 #9 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2506.09655 #5 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2506.00439 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2411.03603 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2410.11448 #4 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2212.03830 #3 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2408.00309 #3 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2402.00738 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2306.00350 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2303.12319 #5 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2207.00964 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2203.14477 #3 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2110.08979 #1 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2010.04978 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2003.13949 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 1912.10944 #3 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 1804.00810 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2605.31490 #9 · arxiv_oai · confidence 0.70 Yuanheng Zhu
  • 2604.14054 #2 · arxiv_oai · confidence 0.70 Yuanheng Zhu

Frequent Coauthors