#ReinforcementLearning: #Control #Systems: #Optimality & #Adaptivity: “From #cont. . .

Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6961412178906157056

#ReinforcementLearning#Control #Systems#Optimality & #Adaptivity: From #control #theory perspective, a topic related to RL is #adaptive #control #theory which studies data-driven approaches for #control of unknown #dynamical #systems: https://lnkd.in/ejGR-P3

[ Thanks to Andrew Ng for sharing his latest thinking on #ReinforcementLearning: https://lnkd.in/g3YG4hpW which inspired this post.]

Referencing our #AI-#Quantum in #Space: #Quantum #PhD-#Engineers #Space4Women #Expert #Panel #Keynote on #ABMS2 #JADAC2 #JADCAC2 Beyond #ABMS #JADC2: https://lnkd.in/gVqiXXpG

Leading to The Joint Staff #Pentagon #Chiefs #Guidance at #NewYorkState #Conference: https://lnkd.in/eR2fJpW : 1Yr Ago: we shared: https://lnkd.in/ejGR-P3

#Facilitating Robots’ #SelfDiscovery of #Autonomous #Behavioral #Repertoire: Nice study on QD (Quality-Diversity) and DR (Dimensionality Reduction) to help #Robots autonomously discover their repertoire of own #Robotic #Capabilities and #Behaviors: 3 Yrs ago we shared: https://lnkd.in/g6psyQ_m

#AI: #Humans vs. #Machines: #Reinforcement #Learning: Humans still remain on top in broader #strategic #thinking and #collaboration, and here is why: 3 Yrs ago we shared: https://lnkd.in/gVyWG5iD

#General #Reinforcement #Learning #Algorithm: How to build your own #AlphaZero #AI using #Python and #Keras: 3 Yrs ago we shared: https://lnkd.in/gYZZ3qF7

#DeepMind: #Deep #Reinforcement #Learning: #DMLab: #Deep #ReinforcementLearning #DeepRL has achieved remarkable success in a range of tasks, from #continuous #control problems in #robotics to playing #games like #Go and #Atari: 3 Yrs ago we shared: https://lnkd.in/gjmpSsxa:

Beyond #ReinforcementLearning: Punished by #Rewards: Reward process is hugely important because it helps the machine distinguish good play vs. bad play, i.e., it helps the machine learn. But this doesn’t work in many real-world situations, because rewards are often rare or hard to determine: 3Yrs Ago: we shared: https://lnkd.in/egt88YDx

#ReinforcementLearning: Many who may know #RL from #artificialintelligence literature may like to know that #RL precedes #ML as many who focus on #Human #Machine #Systems #Learning know it as the #Pavlov method in #Human #Learning: 1Yr Ago: we shared: https://lnkd.in/gZJSdpKK

Reinforcement Learning: Technology and Use Cases: 3Yrs Ago: we shared: https://lnkd.in/gfxHMrgN

Future of AI-Computer Science-Data Science-Finance Are All Here: Global Risk Management Network, LLC

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Global Post AI-Quantum Finance & Trading Networks Pioneer Dr.-Eng.-Prof. Yogesh Malhotra is the “Singular Post AI-Quantum Pioneer” identified by Grok AI with R&D impact recognized among Artificial Intelligence (AI) and Quantitative Finance Nobel Laureates. As MIT-Princeton AI-ML-Cyber-Crypto-Quantum Finance & Trading and FinTech-Crypto Faculty-Industry Expert, and U.S. and Global Hedge Funds Advisory & Venture Capital CEO-CTO Teams Mentor, he has pioneered Silicon Valley-Wall Street-Pentagon Digital CEO-CTO Practices, Technologies, and Networks from world’s first-foremost-largest Global Digital Transformation Networks to New York State IDEA Award recognized Pentagon-USAF MVP Global Post AI-Quantum Networks pioneering Future of Finance and Trading practices as Trillion-Dollar Wall Street Hedge Funds and Investment Banks leader.