Stanford Vision and Learning Lab
@StanfordSVL
This is continuing an important line of work in policy learning with large Datasets.
More importantly this is the question to answer if we need to create a analog of "Imagenet" for Robotics.
We need to both collect large Datasets and have Algorithms to leverage this data!
More importantly this is the question to answer if we need to create a analog of "Imagenet" for Robotics.
We need to both collect large Datasets and have Algorithms to leverage this data!
Animesh Garg@animesh_garg · Nov 14, 2019New work on exploring if a policy can be learned only from offline, off-policy dataset?
IRIS: Implicit Reinforcement without Interaction at Scale
arxiv.org/abs/1911.05321
Video: youtu.be/H9KZgrI2I7I
Seattle Robotics @NvidiaAI
@AjayMandlekar @drfeifei B. Boots F. Ramos D. Fox
Open quoted post →IRIS: Implicit Reinforcement without Interaction at Scale
arxiv.org/abs/1911.05321
Video: youtu.be/H9KZgrI2I7I
Seattle Robotics @NvidiaAI
@AjayMandlekar @drfeifei B. Boots F. Ramos D. Fox
0 18