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#poster session at #UAI2020 at 7pm PDT
http://auai.org/uai2020/session_all.php …
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
http://snap.stanford.edu/ocean/
@ren_hongyu @yukez @animesh_garg @jure @NVIDIAAI @StanfordAILab @Caltech
#ReinforcementLearning #DeepLearningpic.twitter.com/GmRVtcAi4w
We design a new meta #ReinforcementLearning algorithm that carries out task inference by combining global and local contexts. Global context helps with transfer of knowledge across tasks and involves inference of mixture of sub-tasks. Local context tracks transitions in subtaskspic.twitter.com/sFrugXLpHk
This is just what I need for organizing a big art protect!
The gauntlet is down! A poem is on the way
The Minerva Owl Goes deep with an Awl Knowing that if you bore local you emerge with a global focal That tracts across context with an algorithmic pretext that subtasks are nothing but masks That bind local and global in the same inferential tasks
Very cool.
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