tristandeleu/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
PythonMIT
Stargazers
- abursucvaleo.ai
- aleSugliaHeriot-Watt University
- araffin@DLR-RM
- arianhosseiniMila - Université de Montréal
- aripakmanBen-Gurion University of the Negev
- AwokeKnowingKnowledgeCity
- claudiogreco
- dendisuhubdy@bitwyre
- dineshj1
- ethancaballero@mila-iqia
- evancaseyBrookyn, NY
- eyadsibai
- johndpopeSydney
- kailigoBoston, MA, USA
- keskarnitish
- layumiUniversity of Macau
- lewisKit
- loztop
- marquisthunderCreditX
- mfornet
- moskomuleRIKEN AIP
- NaereenLycée Kléber | Éducation Nationale
- PerathamUniversity of Maryland
- rasoolfa
- rejuvyesh@microsoft
- richardaecnNVIDIA
- s9xieCourant Institute of Mathematical Sciences, New York University
- ShuvenduRoyQueen's University
- soumithMeta
- sriharsha0806fractal
- tboquet@Mistplay
- tshrjnNew York City
- VashishtMadhavan
- wdanFudan University
- wellington1993Hotsoft Informática @hotsoft-desenv2
- yagudin