Hangyu Mao
15 papers · 2016–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(88)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(12)
Artificial Intelligence
(10)
Methods
(10)
Machine Learning
(9)
Core AI
(9)
Learning Types Β· Machine Learning
(5)
Deep Learning
(4)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Applications
(3)
Core Methods
(2)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Keywords
multi-agent reinforcement learning
(6)
deep reinforcement learning
(3)
multi-agent system
(3)
reinforcement learning
(2)
centralized training decentralized execution
(2)
knowledge distillation
(2)
cooperative game
(2)
sample efficiency
(2)
value function
(1)
permutation equivariance
(1)
variational inference
(1)
mutual information
(1)
policy learning
(1)
continuous control
(1)
tool use
(1)
question answering
(1)
decision tree
(1)
generalization
(1)
resource allocation
(1)
value function approximation
(1)
Papers
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
ACL 2025
Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning
ICML 2025
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
AAAI 2025
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
IJCAI 2024
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
ICML 2024
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
EMNLP 2024
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
IJCAI 2024
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
ICLR 2023
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning
IJCAI 2022
Multiagent Q-learning with Sub-Team Coordination
NeurIPS 2022
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
AAAI 2022
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NeurIPS 2021
Learning Agent Communication under Limited Bandwidth by Message Pruning
AAAI 2020
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
AAAI 2020
Predicting Restaurant Consumption Level through Social Media Footprints
COLING 2016