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← Authors

Chao Yu

37 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (9)
🐝 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) ACL (1) ECCV (1) EMNLP (1) JMLR (1)

Top co-authors

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

Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning AAAI 2026 Red Teaming Large Reasoning Models ACL 2026 CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 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 Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams CORL 2025 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025 Rapid Learning in Constrained Minimax Games with Negative Momentum AAAI 2025 Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization AAAI 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network ICML 2025 Conservative Offline Goal-Conditioned Implicit V-Learning ICML 2025 Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning CORL 2025 Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization ICML 2025 Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024 An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning NIPS 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICML 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 Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023 Hybrid Policy Optimization from Imperfect Demonstrations NIPS 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 Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems AAAI 2023 Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased ICLR 2023 Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023 Automatic Truss Design with Reinforcement Learning IJCAI 2023 Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NIPS 2022 Learning Efficient Multi-agent Cooperative Visual Exploration ECCV 2022 Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning AAAI 2022 A Unified Diversity Measure for Multiagent Reinforcement Learning NIPS 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 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