Safety by Design: Realized-Cost Constraints for Contextual Bandits with Continuous Actions
cs.LG
Submitted: 2026-08-27
Updated: 2026-08-27
Terminology
Sources
- LLMs-augmented Contextual Bandit
- A Survey on Practical Applications of Multi-Armed and Contextual Bandits
- Safe RLHF: Safe Reinforcement Learning from Human Feedback
- Foundations of Reinforcement Learning and Interactive Decision Making
- Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
- Safe Linear Thompson Sampling with Side Information
- Contextual Bandits with Stage-wise Constraints
- Honor Among Bandits: No-Regret Learning for Online Fair Division
- Gemma: Open Models Based on Gemini Research and Technology
- Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
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