Regret Analysis of Retry-Based Bandits
cs.LG
Submitted: 2026-05-20
Updated: 2026-09-29
Terminology
Sources
- The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation
- A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
- Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
- Adam: A Method for Stochastic Optimization
- Retry Policy Gradients in Continuous Action Spaces
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks