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15 Grossest Superhero Origins in DC History

15 Grossest Superhero Origins in DC History
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United States , Jack Ryder , Rex Mason , Cliff Steele , Harley Quinn , Garfield Logan , Buddy Baker , Niles Caulder , Edan Cassidy , Violet Paige , Alec Holland , Super Heroe Bouncing Boy , Chuck Taine , Jonah Hex , Civil War , Blue Devil , Main Man , Lil Lobo , Clown Prince , Doom Patrol , Catastrophe Theory , Gather House , West African , Eelo Brian , Plastic Man ,

The Worst Version of Lex Luthor is So Much More Hate-able Than The Original

The Worst Version of Lex Luthor is So Much More Hate-able Than The Original
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United States , Brian Mcclane , Lex Luthor , Dennis Culver , Chris Burnham , Clark Kent , Niles Caulder , Unstoppable Doom Patrol , Doom Patrol , Doom Patrol Just Met , Sleazier Version , Strangest Heroes , New Poplar , Catastrophe Theory , Manchester Black , Lex Luthor ,

"Catastrophe theory and economic modelling at the back of an envelope" by Eduardo Pol

Catastrophe theory (CT) emerged out of problems in pure mathematics. The insights and language of differential topology, from which CT sprang, are foreign to most economists. The purpose of this paper is to explain how to use Abstract CT in economic modelling. To this end, we spell out a step-by-step procedure that can be understood without a knowledge of differential topology. The corollary advantage of our systematic procedure is that it brings into sharp focus the limited relevance of CT for economic modelling. The paper is developed in four stages. The first stage provides a gentle introduction to the key mathematical concepts for readers new to CT. The second stage consists of a brief description of the structure of economic modelling. In the third stage, a procedure about how to use CT in economic modelling is spelled out. The last stage summarises the main ideas of CT and points out the snags that a modeller will inevitably encounter when applying CT to economics. ....

Catastrophe Theory , Economic Modelling , Systematic Procedure ,

SUTD wins best paper at 35th AAAI conference on Artificial Intelligence 2021


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IMAGE: Equilibrium manifolds of learning agents in two famous games, Stag Hunt and Battle of the Sexes.
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Credit: SUTD
Game theory is known to be a useful tool in the study of Machine Learning (ML) and Artificial Intelligence (AI) Multi-Agent interactions.
One basic component of these ML and AI systems is the exploration-exploitation trade-off, a fundamental dilemma between taking a risk with new actions in the quest for more information about the environment (exploration) and repeatedly selecting actions that result in the current maximum reward or (exploitation).
However, the outcome of the exploration-exploitation process is often unpredictable in practice and the reasons behind its volatile performance have been a long-standing open question in the ML and AI communities. ....

Georgios Piliouras , Stefanos Leonardos , Singapore University Of Technology , Machine Learning , Artificial Intelligence , Assistant Professor Georgios Piliouras , Singapore University , Catastrophe Theory , Multi Agent Learning , Catastrophe Theory Meets Game , Best Paper Award , Mathematics Statistics , Theoretical Sciences , Computer Theory , Technology Engineering Computer Science , Theory Design , Research Development , Robotry Artificial Intelligence , சிங்கப்பூர் பல்கலைக்கழகம் ஆஃப் தொழில்நுட்பம் , இயந்திரம் கற்றல் , செயற்கை உளவுத்துறை , சிங்கப்பூர் பல்கலைக்கழகம் , பேரழிவு கோட்பாடு , பேரழிவு கோட்பாடு சந்திக்கிறது விளையாட்டு , சிறந்தது காகிதம் விருது , கணிதம் புள்ளிவிவரங்கள் ,