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← Authors

Yingfeng Chen

22 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (6)
🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (26) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (21) πŸ—ƒοΈ Keyword Collector (93) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (5)

Conferences

IJCAI (8) NIPS (4) AAAI (3) ICLR (3) EMNLP (2) ICML (2)

Top co-authors

Changjie Fan (16) Yujing Hu (12) Jianye Hao (10) Weixun Wang (5) Yang Gao (4) Tianpei Yang (4) Zhaopeng Meng (3) Chen Gao (3) YAN ZHENG (3) Yong Liu (3)

Keywords

multi-agent reinforcement learning (5) deep reinforcement learning (4) intrinsic reward (2) sample efficiency (2) reinforcement learning (2) policy optimization (2) behavioral diversity (2) policy transfer (2) centralized training (2) multi-agent system (2) llm agent (2) imitation learning (2) option learning (2) visual reasoning (1) constrained reinforcement learning (1) curriculum learning (1) hierarchical planning (1) game artificial intelligence (1) exploration policy (1) sentiment analysis (1)

Papers

AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning AAAI 2026 CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space EMNLP 2025 PychoAgent: Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events EMNLP 2025 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model ICLR 2023 Neural Episodic Control with State Abstraction ICLR 2023 A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation IJCAI 2022 Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NIPS 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021 Reward-Constrained Behavior Cloning IJCAI 2021 Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) AAAI 2020 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NIPS 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020 Explicitly Coordinated Policy Iteration IJCAI 2019 Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces IJCAI 2019 Reinforcement Learning Experience Reuse with Policy Residual Representation IJCAI 2019 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019