Topic: meta-rl Goto Github
Some thing interesting about meta-rl
Some thing interesting about meta-rl
meta-rl,Repo to reproduce the First-Explore paper results
User: btnorman
Home Page: https://arxiv.org/abs/2307.02276
meta-rl,GenReL-World is a general Reinforcement Learning framework to utilize various world models as environments for robot manipulation
User: cimbiboy
meta-rl,Reimplementing existing learning-based ABR algorithms for dynamic video streaming. These algorithms were implemented with Pytorch and python3
User: confiwent
meta-rl,Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"
Organization: corl-team
meta-rl,Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
Organization: corl-team
Home Page: https://arxiv.org/abs/2312.13327
meta-rl,Toy meta-RL environments for testing algorithms implementations
Organization: corl-team
meta-rl,"모두를 위한 메타러닝" 책에 대한 코드 저장소
User: dongminlee94
meta-rl,Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Organization: farama-foundation
Home Page: https://metaworld.farama.org/
meta-rl,Learning to reinforcement learn for Neural Architecture Search
User: gomerudo
meta-rl,Code for FOCAL Paper Published at ICLR 2021
User: lanqingli1993
meta-rl,A PyTorch Library for Meta-learning Research
Organization: learnables
Home Page: http://learn2learn.net
meta-rl,Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
User: llan-ml
meta-rl,TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Organization: metaopt
Home Page: https://torchopt.readthedocs.io
meta-rl,A curated list of awesome Meta Reinforcement Learning
Organization: metarl
meta-rl,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.
User: mohammadmozafari
meta-rl,Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)
User: roozbehrazavi
Home Page: https://arxiv.org/abs/2210.16530
meta-rl,Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
User: schneimo
meta-rl,An implementation of Meta RL submitted as a course project for the course EE675A (Introduction to Reinforcement Learning)
User: sharmaswastik
meta-rl,Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
User: twni2016
Home Page: https://sites.google.com/view/pomdp-baselines
meta-rl,🌈 The code and methods offered in Awesome-META+: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/
User: wangjingyao07
Home Page: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/
meta-rl,Re-implementations of SOTA RL algorithms.
User: x35f
meta-rl,My notes on reinforcement learning papers
User: yoonholee
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