Results for "perception-action loop"

Temporal and pitch characteristics of speech.

Generates audio waveforms from spectrograms.

Devices measuring physical quantities (vision, lidar, force, IMU, etc.).

System-level design for general intelligence.

Models evaluating and improving their own outputs.

Required human review for high-risk decisions.

Classical controller balancing responsiveness and stability.

Control that remains stable under model uncertainty.

AI selecting next experiments.

AI reinforcing market trends.

A learning paradigm where an agent interacts with an environment and learns to choose actions to maximize cumulative reward.

A high-priority instruction layer setting overarching behavior constraints for a chat model.

Methods for breaking goals into steps; can be classical (A*, STRIPS) or LLM-driven with tool calls.

Combines value estimation (critic) with policy learning (actor).

Separates planning from execution in agent architectures.

What would have happened under different conditions.

RL using learned or known environment models.

Directly optimizing control policies.

Optimizing continuous action sequences.

Reward only given upon task completion.

Imagined future trajectories.

Control shared between human and agent.