Value-Iteration-Networks-PyTorch
Value network
An implementation of a neural network architecture for learning optimal value functions in reinforcement learning problems
PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
79 stars
5 watching
23 forks
Language: Python
last commit: over 7 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 kentsommer/pytorch-value-iteration-networks | A PyTorch implementation of Value Iteration Networks (VINs) for solving gridworld problems. | 318 |
 zuoxingdong/vin_pytorch_visdom | Implementation of Value Iteration Networks in PyTorch with visualization capabilities using Visdom. | 226 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
| onlytailei/a3c-pytorch | An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning | 114 |
 d-li14/regnet.pytorch | An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
 kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 812 |
 atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
 zsef123/efficientnets-pytorch | A PyTorch implementation of EfficientNet for computer vision tasks | 309 |
 tengshaofeng/residualattentionnetwork-pytorch | Implementing a deep learning framework for image classification using Residual Attention Network architecture | 680 |
 ericsun99/shufflenet-v2-pytorch | A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 430 |
 akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |
 szagoruyko/binary-wide-resnet | An implementation of a 1-bit weight neural network architecture using PyTorch | 124 |
 erotemic/netharn | A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 39 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 513 |