pytorch-maml-rl
Reinforcement Learning framework
Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
830 stars
15 watching
161 forks
Language: Python
last commit: almost 4 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| tristandeleu/pytorch-meta | Provides tools and datasets for meta-learning and few-shot learning in deep learning | 1,996 |
 kengz/slm-lab | A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
 katerakelly/pytorch-maml | An implementation of Model-Agnostic Meta-Learning (MAML) using PyTorch | 555 |
 jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 798 |
 astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,236 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 402 |
 minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 349 |
 catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
 lupoglaz/godotaigym | Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory | 214 |
 cpnota/autonomous-learning-library | A comprehensive library for building deep reinforcement learning agents using PyTorch | 647 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 chingyaoc/pytorch-reinforce | A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 266 |
 zuoxingdong/lagom | A modular toolkit for rapid prototyping of reinforcement learning algorithms | 373 |
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |