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AI-woordenlijst

Het complete woordenboek van kunstmatige intelligentie

162
categorieën
2.032
subcategorieën
23.060
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Online Imitation Learning

Learning method where the agent continuously learns from real-time demonstrations, adjusting its behavior as new interactions occur.

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Interactive Continual Learning

Continuous knowledge acquisition process where the agent constantly interacts with the environment while learning from new demonstrations.

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Real-Time Demonstration

Process where the expert provides behavioral examples during the agent's active execution, enabling immediate learning.

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Online Feedback

Corrective information provided to the agent during its operation, allowing for instantaneous behavioral adjustments based on demonstrations.

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Continuous Data Collection

Ongoing process of acquiring new demonstrations during the system's operation, constantly enriching the training dataset.

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Adaptive Knowledge Transfer

Mechanism for integrating new skills from demonstrations while preserving pre-existing knowledge.

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Continuous Observational Learning

Technique where the agent learns passively by observing the expert's continuous demonstrations without interrupting its own operation.

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Evolving Imitation Policy

Behavioral strategy that progressively refines itself through the continuous integration of new online demonstrations.

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Online Human-Agent Interaction

Continuous dialogue between the human operator and the AI agent, where demonstrations are provided and integrated in real-time.

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Continuous Behavioral Correction

Process of continuous rectification of the agent's actions based on corrective demonstrations provided continuously by the expert.

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Interactive Learning by Example

Method where the agent learns through dynamically provided examples during its interaction with the environment.

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Online Trajectory Optimization

Continuous adjustment of the agent's action paths based on new demonstrations of optimal trajectories.

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Continuous Episodic Memory

Permanent and organized storage of new episodic demonstrations for future reference and incremental learning.

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Progressive Learning by Demonstration

Approach where skills are acquired gradually through demonstrations of increasing complexity provided continuously.

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Imitative Feedback Loop

Continuous cycle where the agent's action is evaluated against demonstrations, generating corrections that improve future performance.

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