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Kaixiang Lin — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Kaixiang Lin
11
papers ·
217
citations ·
15
h-index
Shenzhen University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Transfer Learning in Deep Reinforcement Learning: A Survey
2020 · 151 citations
Collaborative Deep Reinforcement Learning
2017 · 18 citations
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
2020 · 11 citations
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management
2018 · 9 citations
Off-Policy Imitation Learning from Observations
2021 · 7 citations
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation
2018 · 6 citations
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
2020 · 6 citations
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning
2022 · 6 citations
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
2022 · 2 citations
Ranking Policy Gradient
2019
Top co-authors
Jiayu Zhou
· 5
Zhuangdi Zhu
· 3
and Jiayu Zhou
· 2
Bo Dai
· 2
Govind Thattai
· 2
Anil K. Jain
· 1
Dong Chen
· 1
Feiyang Niu
· 1
Feng Qiu
· 1
Fengyi Tang
· 1
Gaurav S. Sukhatme
· 1
Hiroko H. Dodge
· 1
Topics
Policy Gradient
Multi-Agent
Offline RL
Meta-RL
Model-Based RL
Exploration
Game AI
RLHF & Alignment
Value-Based
Safe RL