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Zhiguang Cao — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Zhiguang Cao
25
papers ·
914
citations ·
38
h-index
Singapore Management University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
2020 · 238 citations
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
2021 · 187 citations
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning
2021 · 140 citations
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
2022 · 49 citations
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
2024 · 34 citations
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
2020 · 11 citations
Learning Large Neighborhood Search Policy for Integer Programming
2021 · 11 citations
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
2023 · 5 citations
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
2022 · 4 citations
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
2023 · 4 citations
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
2023 · 2 citations
Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM
2025 · 1 citations
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
2025 · 1 citations
Learning to Search for Vehicle Routing with Multiple Time Windows
2025 · 1 citations
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
2026
Top co-authors
Jie Zhang
· 8
Wen Song
· 7
Yining Ma
· 6
Yue-Jiao Gong
· 5
Cong Zhang
· 4
Jiacheng Chen
· 4
Yaoxin Wu
· 3
Jingwen Li
· 2
Andr\'e Hottung
· 1
Bihan Wen
· 1
Cathy Wu
· 1
Chi Xu
· 1
Topics
Policy Gradient
Value-Based
Model-Based RL
Meta-RL
Multi-Agent
cs.LG
Safe RL
Exploration
cs.AI
cs.NE