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
827 stars
15 watching
158 forks
Language: Python
last commit: almost 2 years ago Related projects:
Repository | Description | Stars |
---|---|---|
tristandeleu/pytorch-meta | Provides tools and datasets for meta-learning and few-shot learning in deep learning | 1,987 |
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 | 553 |
jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 797 |
astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,233 |
l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 244 |
iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 401 |
minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 346 |
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 | 646 |
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. | 264 |
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 |