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Deep learning Concept Objectives Accomplishments and Impact

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Presentation on theme: "Deep learning Concept Objectives Accomplishments and Impact"— Presentation transcript:

1 Deep learning Concept Objectives Accomplishments and Impact
DARPA Deep learning Concept Objectives AlphaGo is a computer program that plays the board game Go.[1] It was developed by Alphabet Inc.'s Google DeepMind in London.  combination of machine learning and tree search techniques, combined with extensive training, both from human and computer play.  deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.                   Accomplishments and Impact Expected Results Reducing "action candidates" Imitating expert moves(supervised learning) Imitating expert movers Introduction to Overlays: 1. Initially just the Binni map shows up with the 2 opposing countries (Gao and Agadiz) which are separated by a threatened Firestorm, and it shows how Gao is trying to mislead the coalition on the position of the Agadiz forces to displace the planned firestorm area. You can mention the use of the Binni Coalition scenario and its military realism and root in the 5 nation The Technical Cooperation Program (TTCP) work and the development of this scenario for the benefits of ourselves and others by the CoAX team. 2. Then you get chance to say its all facilitated by the CoABS Grid. 3. The third overlap gives you chance to mention that at least 3 different experimental agent frameworks with different facilities and properties are integrated showing how the Grid enables this too. 4. The fourth overlap shows the generic agent services we are researching and the core scientific element of the work. These are meant to lead to new generically useful services that can be provided on the Grid and beyond CoAX. 5. Then you get to say CoAX is integrating previously separate actual military systems such as MBP and CAMPS, from 2 countries, brought together for the first time ever. 6. Then you get to say a lot of other CoABS agent research is being showcased by being used in Coalition relevant ways with the CoAX/Binni demonstration scenario. GO IS "ONE OF THE GREAT INTELLECTUAL MIND SPORTS OF THE WORLD" "mACHINE WINS HUMAN" Improving through self-plays(reinformation learning) Improving through self-plays Board evaluation Reducing search space


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