← Authors

Yingfeng Chen

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

Achievements

🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 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