← Authors

Chao Yu

36 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (37) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (12) πŸ† Keyword Champion (2) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (103) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸ’Ž Century Club (34)

Conferences

AAAI (10) ICML (7) NIPS (6) ICLR (4) IJCAI (4) CORL (2) ECCV (1) EMNLP (1) JMLR (1)

Top co-authors

Yi Wu (12) Yu Wang (11) Zelai Xu (6) Zifan Wu (6) Qian Lin (6) Zongkai Liu (5) Jiaxuan Gao (4) Hankz Hankui Zhuo (4) Yaodong Yang (3) Chen Chen (3)

Keywords

multi-agent reinforcement learning (9) offline reinforcement learning (4) model-based reinforcement learning (3) deep reinforcement learning (3) policy optimization (3) nash equilibrium (3) proximal policy optimization (2) policy gradient (2) reinforcement learning (2) game theory (2) multi-step prediction (2) model rollout (2) trajectory generation (2) multi-agent coordination (2) multi-agent system (2) preference learning (1) uncertainty quantification (1) curriculum learning (1) hierarchical reinforcement learning (1) transfer learning (1)

Papers

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026
Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning AAAI 2026
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization AAAI 2025
Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025
Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams CORL 2025
Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning CORL 2025
Rapid Learning in Constrained Minimax Games with Negative Momentum AAAI 2025
Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance EMNLP 2025
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025
Conservative Offline Goal-Conditioned Implicit V-Learning ICML 2025
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network ICML 2025
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization ICML 2025
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICML 2024
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning NIPS 2024
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024
Off-Policy Primal-Dual Safe Reinforcement Learning ICLR 2024
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024
Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems AAAI 2023
Automatic Truss Design with Reinforcement Learning IJCAI 2023
Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased ICLR 2023
Hybrid Policy Optimization from Imperfect Demonstrations NIPS 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks AAAI 2023
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning AAAI 2022
Learning Efficient Multi-agent Cooperative Visual Exploration ECCV 2022
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NIPS 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning ICML 2022
A Unified Diversity Measure for Multiagent Reinforcement Learning NIPS 2022
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NIPS 2022
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis AAAI 2021
Coordinated Proximal Policy Optimization NIPS 2021
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control IJCAI 2019
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework IJCAI 2019