dynamics learning
[daɪˈnæmɪks ˈlɜrnɪŋ]
noun
aprendizado de dinâmica
1. A machine learning approach where a model learns to predict or understand how systems evolve over time, particularly focusing on temporal changes and state transitions
Dynamics learning is crucial for robotics applications where the system must predict how objects move in response to actions.
O aprendizado de dinâmica é crucial para aplicações de robótica em que o sistema deve prever como os objetos se movem em resposta às ações.
2. In reinforcement learning, the process of learning the transition model that describes how states change based on actions taken
The agent used dynamics learning to build a model of the environment without explicit programming.
O agente utilizou aprendizado de dinâmica para construir um modelo do ambiente sem programação explícita.
3. The training process where neural networks learn to capture the underlying patterns of change in complex systems over time
Dynamics learning enables autonomous vehicles to predict the future positions of surrounding objects.
O aprendizado de dinâmica permite que veículos autônomos prevejam as posições futuras dos objetos ao redor.
This is a specialized technical term primarily used in academic and industry circles within artificial intelligence, machine learning, and robotics fields. It is more commonly used in international tech communities and research papers than in everyday Brazilian or Portuguese conversation. The term reflects the globalized nature of AI research where English terminology dominates, though Portuguese translations are increasingly standardized in academic institutions.
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