ethz-asl/cvae_exploration_planning
Learning informed sampling distributions and information gains for efficient exploration planning.
PythonBSD-3-Clause
Stargazers
- adbidwai@marmotlab
- anning808
- AnshShah3009@BitsRobocon
- BenMSKDYROS
- chaofiberZurich
- Chengc1
- deep-programmer
- derektan95
- dklee98KAIST
- dko21
- edwinstudySIA
- emia7
- forestsen
- HuangKangJin
- IamShubhamGupto@m2lines @NYU-Robomaster-Ultraviolet
- Jh271441Hangzhou, China
- llxClover
- nixwang
- ricfrrEurecat
- rongrong1314XiAn
- RtlycPurdue University, New York University
- Schmluk@MIT-SPARK
- SHIVOHNational Robotarium, Heriot Watt University, Edinburgh
- smoggy-POpenRobotLab, Shanghai AI Lab
- soul0knightNortheastern University
- sudharshan2001
- tatsuya-ishihara
- Tomato1107Okayama University
- Wang-Han-HITHarbin Institute of Technology
- wuyou33
- YinghaoJia98Harbin
- YongzhengCui
- YuePanEdward
- yuliangzhongFlyability
- zha0ming1e
- zzsssky