NVlabs/bayes-sim-ig
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with Isaac Gym
PythonNOASSERTION
Stargazers
- abhishek47kashyapTokyo
- allenzrenPrinceton University
- babbatem
- brunoleejHanyang University
- callmerayTsinghua University
- contactrikaStanford
- diegoferigoItalian Institute of Technology
- dieprado
- eric-heidenUniversity of Southern California
- fabioramosUniversity of Sydney, NVIDIA
- famuraBosch Center for Artificial Intelligence (BCAI)
- fmdazharRWTH | SNU
- fokxXi'an, Shaanxi Province, China
- GitHub30Osaka, Japan
- hany606Daejeon, South Korea
- haonan-duanInstitute of Automation, Chinese Academy of Sciences
- heleven
- jacarvalhoTechnische Universität Darmstadt
- kaku2000
- Kashu7100Carnegie Mellon University
- krishpopUnited States
- lianghongzhuoUniversity of Hamburg @TAMS-Group
- luyanaa@hsefz2018, @opentj
- NeotripleLondon
- nepfaffMIT CSAIL
- rafaolData61 | CSIRO
- rlawlsdn1130Hyundai-Rotem
- taochenshhMIT CSAIL
- traversaroItalian Institute of Technology
- TToTMooNBerkeley, CA
- wangcongrobotTU Delft
- wx-bRIOS
- yanjh97
- yinzhaodongHKU
- Zhehui-HuangUSC
- zsbeta