Results for "trigger-based behavior"

Motion considering forces and mass.

Mathematical representation of friction forces.

Differences between simulated and real physics.

Artificial sensor data generated in simulation.

Modifying reward to accelerate learning.

Learning policies from expert demonstrations.

Humans assist or override autonomous behavior.

Mathematical guarantees of system behavior.

Identifying suspicious transactions.

AI discovering new compounds/materials.

Agents fail to coordinate optimally.

Inferring and aligning with human preferences.

Updating a pretrained model’s weights on task-specific data to improve performance or adapt style/behavior.

System-level design for general intelligence.

Training a smaller “student” model to mimic a larger “teacher,” often improving efficiency while retaining performance.

Achieving task performance by providing a small number of examples inside the prompt without weight updates.

Architecture based on self-attention and feedforward layers; foundation of modern LLMs and many multimodal models.

Retrieval based on embedding similarity rather than keyword overlap, capturing paraphrases and related concepts.

A preference-based training method optimizing policies directly from pairwise comparisons without explicit RL loops.

Feature attribution method grounded in cooperative game theory for explaining predictions in tabular settings.

Removing weights or neurons to shrink models and improve efficiency; can be structured or unstructured.

Samples from the smallest set of tokens whose probabilities sum to p, adapting set size by context.

Identifying and localizing objects in images, often with confidence scores and bounding rectangles.

Continuous cycle of observation, reasoning, action, and feedback.

Generating speech audio from text, with control over prosody, speaker identity, and style.

Separates planning from execution in agent architectures.

Chooses which experts process each token.

Models that define an energy landscape rather than explicit probabilities.

Probabilistic energy-based neural network with hidden variables.

Simultaneous Localization and Mapping for robotics.