Stimulētās mašīnmācīšanās problēmu veidi un risināšanas metodes un rīki

6533b859fe1ef96bd12b716c

RESEARCH PRODUCT

Stimulētās mašīnmācīšanās problēmu veidi un risināšanas metodes un rīki

subject

Datorzinātne stimulētā mākslīgais mašīnmācīšanās Python OpenAI Gym

description

Stimulētā mašīnmācīšanās ir viena no mašīnmācīšanās apakšnozarēm, kas to padara par vienu no mākslīgā intelekta apakšnozarēm. Ar stimulētās mašīnmācīšanas palīdzību un tās paņēmieniem var modelēt fizikālajā pasaulē sastopamas problēmas un veidus, kā tās risināt ar datora palīdzību. Šajā darbā tiks apskatītas vienkāršākās problēmas, kuras parasti tiek risinātas, apgūstot stimulētās mašīnācīšanās pamatprincipus un metodes to risināšanai, un kuras tiek iekļautas mašīnmācīšanās apakšnozare, kā arī pieejamie un nepieciešamie rīki, lai būtu iespējams šīs problēmas modelēt datoram saprotamā veidā un ar to palīdzību būtu iespējams atrisināt tās problēmas, kas ir sastopamas mūsu fiziskajā pasaulē.

year	journal	country	edition	language
2018-01-01

https://dspace.lu.lv/dspace/handle/7/38329

PEPhysical Sciences and Engineering
- PE2Fundamental Constituents of Matter
  - PE2_1Theory of fundamental interactions
  - PE2_2 Phenomenology of fundamental interactions
  - PE2_3Experimental particle physics with accelerators
  - PE2_4Experimental particle physics without accelerators
  - PE2_6Nuclear, hadron and heavy ion physics
  - PE2_8Gas and plasma physics
  - PE2_5Classical and quantum physics of gravitational interactions
  - PE2_7Nuclear and particle astrophysics
  - PE2_9 Electromagnetism
  - PE2_10Atomic, molecular physics
  - PE2_11Ultra-cold atoms and molecules
  - PE2_18Equilibrium and non-equilibrium statistical mechanics: steady states and dynamics
  - PE2_14Lasers, ultra-short lasers and laser physics
  - PE2_17Metrology and measurement
  - PE2_16Non-linear physics
  - PE2_12Optics, non-linear optics and nano-optics
  - PE2_13Quantum optics and quantum information
  - PE2_15Thermodynamics
- PE1Mathematics
  - PE1_1Logic and foundations
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  - PE1_8Analysis
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  - PE1_9Operator algebras and functional analysis
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  - PE1_11Theoretical aspects of partial differential equations
  - PE1_13Probability
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  - PE1_15Generic statistical methodology and modelling
  - PE1_4 Algebraic and complex geometry
  - PE1_19Scientific computing and data processing
  - PE1_2Algebra
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  - PE3_3Transport properties of condensed matter
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  - PE10_21Earth system modelling and interactions
  - PE10_14Earth observations from space/remote sensing
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LSLife Sciences
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  - LS1_12Protein design
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  - LS3_2Cell senescence, cell death, autophagy, cell ageing
- LS5Neuroscience and Disorders of the Nervous System
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  - LS5_5Neural networks and plasticity
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  - LS5_16Systems and computational neuroscience (e.g. modelling, simulation, brain oscillations, connectomics)
  - LS5_18Innovative methods and tools for neuroscience
  - LS5_17Imaging in neuroscience
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  - LS5_4Neural stem cells
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  - LS9_7Environmental biotechnology and bioengineering
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SHSocial Sciences and Humanities
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- SH3The Social World and Its Interactions
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- SH4The Human Mind and Its Complexity
  - SH4_1Cognitive basis of human development, developmental disorders; comparative cognition
  - SH4_2Personality and social cognition; emotion
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