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Jianye Hao — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jianye Hao
103
papers ·
1006
citations ·
37
h-index
Tianjin University · Huawei Technologies (China) · Huawei Technologies (United Kingdom)
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Most-cited papers
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
2020 · 108 citations
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
2020 · 104 citations
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
2020 · 94 citations
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
2019 · 63 citations
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments
2018 · 43 citations
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
2024 · 40 citations
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction
2018 · 36 citations
Ordering-Based Causal Discovery with Reinforcement Learning
2021 · 35 citations
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
2020 · 33 citations
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
2020 · 28 citations
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
2020 · 26 citations
Multi-Agent Game Abstraction via Graph Attention Neural Network
2019 · 20 citations
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach
2018 · 16 citations
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
2022 · 16 citations
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management
2020 · 15 citations
Top co-authors
Hongyao Tang
· 22
Weixun Wang
· 13
Wulong Liu
· 13
Zhaopeng Meng
· 13
Changjie Fan
· 12
Chen Chen
· 9
Yaodong Yang
· 9
Yingfeng Chen
· 9
Tianpei Yang
· 8
Hangyu Mao
· 7
Yan Zheng
· 7
Yan Zheng
· 7
Topics
Model-Based RL
Value-Based
Multi-Agent
Meta-RL
Exploration
Policy Gradient
Game AI
Offline RL
Safe RL
RLHF & Alignment