Hangyu Mao
15 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (9) π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (29)
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Conference Polyglot
(8)
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Academic Marathon
(9)
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Grand Slam
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Topic Evolution
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Century Club
(15)
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(6)
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Keyword Collector
(74)
Conferences
AAAI (4)
IJCAI (3)
ICML (2)
NIPS (2)
ACL (1)
COLING (1)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(5)
deep reinforcement learning
(3)
reinforcement learning
(2)
knowledge distillation
(2)
centralized training decentralized execution
(2)
cooperative game
(2)
multi-agent system
(2)
value function approximation
(1)
value function
(1)
in-context learning
(1)
mutual information
(1)
continuous control
(1)
cooperative multi-agent
(1)
resource allocation
(1)
policy learning
(1)
value factorization
(1)
proximal policy optimization
(1)
question answering
(1)
tool use
(1)
decision tree
(1)
Papers
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
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
ACL 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
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
AAAI 2022
Multiagent Q-learning with Sub-Team Coordination
NIPS 2022
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NIPS 2021
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
AAAI 2020
Learning Agent Communication under Limited Bandwidth by Message Pruning
AAAI 2020
Predicting Restaurant Consumption Level through Social Media Footprints
COLING 2016