Prof. Anima Anandkumar on Twitter: "Real world scenarios for reinforcement #learning are partially observable, unlike atari games. Causal states optimally compress the joint history of actions and observations in a task agnostic manner. Amy Zhang @zacharylipton @kazizzad @furlanel Joelle Pineau… https://t.co/VePWoSFeeV"

Country	Code	For customers of
United States	40404	(any)
Canada	21212	(any)
United Kingdom	86444	Vodafone, Orange, 3, O2
Brazil	40404	Nextel, TIM
Haiti	40404	Digicel, Voila
Ireland	51210	Vodafone, O2
India	53000	Bharti Airtel, Videocon, Reliance
Indonesia	89887	AXIS, 3, Telkomsel, Indosat, XL Axiata
Italy	4880804	Wind
3424486444	Vodafone
» See SMS short codes for other countries

‏ @AnimaAnandkumar

Real world scenarios for reinforcement #learning are partially observable, unlike atari games. Causal states optimally compress the joint history of actions and observations in a task agnostic manner. Amy Zhang @zacharylipton @kazizzad @furlanel Joelle Pineauhttps://twitter.com/arXiv_Daily/status/1143913653470498817 …

arXiv Daily @arXiv_Daily

Learning Causal State Representations of Partially Observable Environments https://deepai.org/publication/learning-causal-state-representations-of-partially-observable-environments … by Amy Zhang et al. including @zacharylipton, @AnimaAnandkumar #ReinforcementLearning #MarkovDecisionProcess

10:07 AM - 26 Jun 2019