A Hierarchy of Policy Learning Problems

arXiv:2607.03385 · stat.ML, cs.LG · Submitted 2026-07-03 · Read on arXiv

Hamsa Bastani, Osbert Bastani, Shihan Chen

stat.ML, cs.LG

Submitted: 2026-07-03

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Sample Complexity — 50× in this paper · explained in 20 episodes
• Regret — 8× in this paper · explained in 4 episodes
• Monotonicity — 3× in this paper · explained in 2 episodes
• Abstention — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Human-in-the-loop — 1× in this paper · explained in 4 episodes
• Pareto Frontier — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Regret Bound — 1× in this paper · explained in 2 episodes
• Regret Bounds — 1× in this paper · explained in 2 episodes
• Regret Guarantees — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 6 episodes

Sources

• Policy Learning with Observational Data
• Beating the Winner's Curse via Inference-Aware Policy Optimization
• Policy Learning with Confidence

Related papers

• Behavior of prediction performance metrics with rare events
• Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
• A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
• Scalable Posterior Uncertainty for Flexible Density-Based Clustering
• A Transport Geometry of Benign Overfitting
• Efficient quadratic entropy with distance sketches