zcaicaros
I am Cong Zhang, a PhD from the School of Computer Science and Engineering at Nanyang Technological University, Singapore.
Nanyang Technological UniversitySingapore
Pinned Repositories
DPRM
Our paper "Aligning Crowd Feedback via Distributional Preference Reward modelling"
DRL-MTSP
Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"
L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
L2S
Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"
Learning-D2D-task-off-loads
manager-worker-mtsptwr
Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"
NeuroLS
Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
RLGNN-JSSP
A reimplementation of paper "Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning"
ScheduleNet
A reimplement of paper "ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning "
TBGAT
Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem"
zcaicaros's Repositories
zcaicaros/L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
zcaicaros/DRL-MTSP
Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"
zcaicaros/manager-worker-mtsptwr
Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"
zcaicaros/L2S
Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"
zcaicaros/TBGAT
Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem"
zcaicaros/Learning-D2D-task-off-loads
zcaicaros/RLGNN-JSSP
A reimplementation of paper "Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning"
zcaicaros/ScheduleNet
A reimplement of paper "ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning "
zcaicaros/NeuroLS
Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
zcaicaros/DAGNN
A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.
zcaicaros/DPRM
Our paper "Aligning Crowd Feedback via Distributional Preference Reward modelling"
zcaicaros/grok-1
Grok open release
zcaicaros/Learning-Reactive-Rule-Programs
zcaicaros/Robot-Compete
zcaicaros/SC2002
zcaicaros/zcaicaros