Results for "virtual environment"

Software simulating physical laws.

High-fidelity virtual model of a physical system.

Artificial environment for training/testing agents.

Isolating AI systems.

Human controlling robot remotely.

Modeling environment evolution in latent space.

Recovering 3D structure from images.

Generating human-like speech from text.

Computing joint angles for desired end-effector pose.

AI limited to specific domains.

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

Maintaining two environments for instant rollback.

RL using learned or known environment models.

Learned model of environment dynamics.

Perceived actions an environment allows.

Ability to replicate results given same code/data; harder in distributed training and nondeterministic ops.

Strategy mapping states to actions.

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

Separates planning from execution in agent architectures.

Simultaneous Localization and Mapping for robotics.

Interleaving reasoning and tool use.

Agent reasoning about future outcomes.

AI systems that perceive and act in the physical world through sensors and actuators.

External sensing of surroundings (vision, audio, lidar).

RL without explicit dynamics model.

Finding routes from start to goal.

Planning via artificial force fields.

Detecting and avoiding obstacles.

Internal representation of environment layout.

A mismatch between training and deployment data distributions that can degrade model performance.