Results for "market making"

Directly optimizing control policies.

Learning action mapping directly from demonstrations.

Optimal pathfinding algorithm.

Learned model of environment dynamics.

Modeling environment evolution in latent space.

Learning by minimizing prediction error.

Acting to minimize surprise or free energy.

Internal representation of environment layout.

Imagined future trajectories.

Humans assist or override autonomous behavior.

Intelligence emerges from interaction with the physical world.

AI systems assisting clinicians with diagnosis or treatment decisions.

AI applied to X-rays, CT, MRI, ultrasound, pathology slides.

Ability to correctly detect disease.

Predicting disease progression or survival.

AI supporting legal research, drafting, and analysis.

Legal right to fair treatment.

Predicting case success probabilities.

Requirement to reveal AI usage in legal decisions.

Ensuring models comply with lending fairness laws.

Finding mathematical equations from data.

Combination of cooperation and competition.

No agent benefits from unilateral deviation.

Awareness and regulation of internal processes.

Internal representation of the agent itself.

Ensuring AI allows shutdown.

A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.

Measures a model’s ability to fit random noise; used to bound generalization error.

Inferring the agent’s internal state from noisy sensor data.

Learning from data by constructing “pseudo-labels” (e.g., next-token prediction, masked modeling) without manual annotation.