Pinned Repositories
attention-learn-to-route
Attention based model for learning to solve different routing problems
conditional-glow
Conditional-Glow for Structured Prediction
Deep-Reinforcement-Learning-for-Image-Denoising-via-Residual-Recovery
Simple implementation of DRL (PPO is used) for image denoising via residual recovery
Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
pyconcorde
Python wrapper around the Concorde TSP solver
RongkaiZhang's Repositories
RongkaiZhang/Deep-Reinforcement-Learning-for-Image-Denoising-via-Residual-Recovery
Simple implementation of DRL (PPO is used) for image denoising via residual recovery
RongkaiZhang/neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
RongkaiZhang/attention-learn-to-route
Attention based model for learning to solve different routing problems
RongkaiZhang/conditional-glow
Conditional-Glow for Structured Prediction
RongkaiZhang/Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
RongkaiZhang/graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
RongkaiZhang/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
RongkaiZhang/pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
RongkaiZhang/pyconcorde
Python wrapper around the Concorde TSP solver
RongkaiZhang/pytorch_structure2vec
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
RongkaiZhang/R3L_new
RongkaiZhang/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
RongkaiZhang/roboinstruct-2
Train a robot to see the environment and autonomously perform different tasks
RongkaiZhang/structure2vec-tf
(start of) implementing structure2vec in just tensorflow
RongkaiZhang/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
RongkaiZhang/VRP-RL
Reinforcement Learning for Solving the Vehicle Routing Problem