Results for "direct preference optimization"

Reinforcement learning from human feedback: uses preference data to train a reward model and optimize the policy.

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

Optimization problems where any local minimum is global.

Optimization with multiple local minima/saddle points; typical in neural networks.

Optimization under equality/inequality constraints.

A function measuring prediction error (and sometimes calibration), guiding gradient-based optimization.

Optimization using curvature information; often expensive at scale.

Measure of vector magnitude; used in regularization and optimization.

Visualization of optimization landscape.

Optimization under uncertainty.

Methods like Adam adjusting learning rates dynamically.

Optimizing continuous action sequences.