Pytorch-DPPO
DPPO algorithm
A PyTorch implementation of Distributed Proximal Policy Optimization algorithm
Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
180 stars
9 watching
40 forks
Language: Python
last commit: almost 7 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 435 |
 moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
 onlytailei/carla_cil_pytorch | Implementation of a conditional imitation learning policy in PyTorch for autonomous driving using the Carla dataset. | 65 |
 oyam/pytorch-dpns | PyTorch implementation of a deep learning model for image segmentation | 90 |
 dgriff777/rl_a3c_pytorch | An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
 osqp/osqpth | A PyTorch module that wraps the OSQP solver for differentiable optimization problems | 59 |
 stepelu/ptstat | A PyTorch-based implementation of probabilistic programming and statistical inference tools | 110 |
| alexis-jacq/lola_dice | PyTorch implementation of LOLA using DiCE for decision-making in game-playing AI | 91 |
 lextal/pspnet-pytorch | A PyTorch implementation of a segmentation network architecture | 588 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
| alexis-jacq/pytorch-tutorials | An introduction to PyTorch through the Neural-Style algorithm for image transformation | 136 |
| ikostrikov/pytorch-flows | PyTorch implementations of algorithms for density estimation using invertible transformations. | 577 |
 ljvmiranda921/pyswarms | A toolkit for implementing particle swarm optimization algorithms | 1,295 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 fxia22/pointnet.pytorch | This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,175 |