Shypd.aiThe largest open index of AI toolspytorch-maml-rl is an open-source AI framework that implements Model-Agnostic Meta-Learning (MAML) for reinforcement learning problems in PyTorch. It provides environments for multi-armed bandits, tabular MDPs, and continuous control tasks.
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pytorch-maml-rl is an open-source implementation of Model-Agnostic Meta-Learning (MAML) specifically tailored for reinforcement learning problems, built using the PyTorch framework. This repository offers a comprehensive toolkit for researchers and developers to explore and apply meta-learning techniques to various RL scenarios. It includes support for diverse environments such as multi-armed bandits, tabular Markov Decision Processes (MDPs), continuous control tasks using MuJoCo, and 2D navigation. The project provides scripts for both training and testing meta-learned policies, making it a valuable resource for experimenting with fast adaptation of deep networks in RL.
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