Yingfeng Chen
22 papers · 2019–2026 · 6 venues · across top CS/AI venues
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(11)
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Dynamic Duo
(16)
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Renaissance Researcher
(5)
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Research topics
Reinforcement Learning
(16)
Methods
(16)
Artificial Intelligence
(13)
Core AI
(9)
Machine Learning
(8)
Learning Types Β· Machine Learning
(7)
Deep Learning
(5)
Learning Paradigms
(4)
Learning Types Β· Deep Learning
(4)
Applications Β· Reinforcement Learning
(3)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications Β· Natural Language Processing
(1)
Architectures
(1)
Keywords
multi-agent reinforcement learning
(6)
deep reinforcement learning
(6)
sample efficiency
(4)
multi-agent system
(3)
reinforcement learning
(2)
policy optimization
(2)
llm agent
(2)
intrinsic reward
(2)
option learning
(2)
behavioral diversity
(2)
exploration policy
(2)
policy transfer
(2)
imitation learning
(2)
deep neural network
(2)
centralized training
(2)
knowledge transfer
(1)
curriculum learning
(1)
hierarchical planning
(1)
game artificial intelligence
(1)
state abstraction
(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
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NeurIPS 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
NeurIPS 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
NeurIPS 2021
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ICLR 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
IJCAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
AAAI 2020
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning
IJCAI 2020
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract)
AAAI 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
NeurIPS 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
ICML 2020
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
IJCAI 2019
Explicitly Coordinated Policy Iteration
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