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Join my talk tomorrow @Harvard Path to #autonomy : Integrating #Learning in #Control systems. Design robust learning to satisfy safety and stability. Joint work with @SahinLale @kazizzad @yisongyue @anqi_liu33 @GuanyaShi @yash92006 @Caltechhttps://twitter.com/boazbaraktcs/status/1263324816041525249 …
We propose a new #ReinforcementLearning method for LQG control systems (hidden states) with surprising logarithmic regret. Our method is episodic + online learning: episodic state estimation with online convex optimization. @SahinLale @kazizzad https://arxiv.org/pdf/2003.11227.pdf …
Second part of my talk will cover control under non-linear dynamics. Distributionally robust learning methods with uncertainty bounds: safe exploration, planning and control. @anqi_liu33 @GuanyaShi @yash92006 @yisongyue https://arxiv.org/pdf/2005.04374.pdf … https://arxiv.org/abs/1906.05819v1 …
Link to talk video http://tiny.cc/tmlseminaranima and slides http://tensorlab.cms.caltech.edu/users/anima/slides/Harvard-May2020.pptx … Thank you @boazbaraktcs for organizing this Video has an active chat transcript. Thanks @SahinLale @anqi_liu33 for answering chat questions. Thanks @CsabaSzepesvari for asking so many hard questions ;)
This sounds *super* interesting but a bit above my level, is there a pre-reading or pre-watching I can do to feel more up to speed?
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