pytorch-REINFORCE
Reinforcement learning framework
A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments.
PyTorch Implementation of REINFORCE for both discrete & continuous control
264 stars
13 watching
51 forks
Language: Python
last commit: over 7 years ago continuous-controlgymmujocopytorchreinforcereinforcement-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
 kengz/slm-lab | A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
 lupoglaz/godotaigym | Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory | 214 |
 dgriff777/rl_a3c_pytorch | An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
 jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 797 |
 erotemic/netharn | A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 39 |
 iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 401 |
 achaiah/pywick | A PyTorch-based neural network training framework with advanced features and utilities | 398 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
 minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 346 |
 shenzebang/federated-learning-pytorch | A PyTorch-based framework for Federated Learning experiments | 40 |
 ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 433 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 569 |
| ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
 onlytailei/a3c-pytorch | An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning | 114 |