An implementation of Meta RL submitted as a course project for the course EE675A (Introduction to Reinforcement Learning)
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Updated
May 4, 2023 - Jupyter Notebook
An implementation of Meta RL submitted as a course project for the course EE675A (Introduction to Reinforcement Learning)
GenReL-World is a general Reinforcement Learning framework to utilize various world models as environments for robot manipulation
This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-learning, meta-reinforcement-learning, continual-learning and etc.
Toy meta-RL environments for testing algorithms implementations
Learning to reinforcement learn for Neural Architecture Search
🌈 The code and methods offered in Awesome-META+: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/
Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)
My notes on reinforcement learning papers
Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"
Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
A curated list of awesome Meta Reinforcement Learning
Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
Repo to reproduce the First-Explore paper results
Code for FOCAL Paper Published at ICLR 2021
"모두를 위한 메타러닝" 책에 대한 코드 저장소
Re-implementations of SOTA RL algorithms.
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
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