Chao Yu

40 papers · 2019–2026 · 12 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Chao Yu?

2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Yu Wang, Yi Wu, Zelai Xu 18 papers · 2021–2026 · ICML, OSDI, CoRL Hide ▲

DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training OSDI 2026 RLinf: Flexible and Efficient Large-Scale Reinforcement Learning via Macro-to-Micro Flow Transformation OSDI 2026 VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments CVPR 2026 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025 Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization ICML 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network ICML 2025 Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning CoRL 2025 Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance EMNLP 2025 Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams CoRL 2025 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICML 2024 Automatic Truss Design with Reinforcement Learning IJCAI 2023 Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased ICLR 2023 Learning Efficient Multi-agent Cooperative Visual Exploration ECCV 2022 Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning ICML 2022 The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NeurIPS 2022 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021

with Zifan Wu, Qian Lin, Zongkai Liu 16 papers · 2019–2026 · AAAI, NeurIPS, ICML Show ▼

6 papers whose co-authors appear nowhere else under this name

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 Red Teaming Large Reasoning Models ACL 2026 Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023 Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems AAAI 2023 A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis AAAI 2021 The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control IJCAI 2019

Venues · all papers under this name

AAAI (10) ICML (7) NeurIPS (6) ICLR (4) IJCAI (4) CoRL (2) OSDI (2) ACL (1) CVPR (1) ECCV (1) EMNLP (1) JMLR (1)