Sampling-Based Safe Reinforcement Learning

arXiv:2605.19469 · cs.LG, cs.AI, cs.RO · Submitted 2026-05-19 · Read on arXiv

cs.LG, cs.AI, cs.RO

Submitted: 2026-05-19

Updated: 2026-10-09

Terminology

• Reinforcement Learning — 29× in this paper · explained in 4 episodes
• Epistemic Uncertainty — 9× in this paper · explained in 10 episodes
• Sample Complexity — 9× in this paper · explained in 15 episodes
• Action Space — 8× in this paper · explained in 1 episode
• Regret — 8× in this paper · explained in 3 episodes
• Information Gain — 7× in this paper · explained in 2 episodes
• Sampling-Based Safe Reinforcement Learning — 7× in this paper
• Actor — 5× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 3 episodes
• Theoretical Guarantees — 3× in this paper · explained in 2 episodes
• Active Exploration — 2× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Conformal Prediction — 2× in this paper · explained in 7 episodes
• Hyperparameters — 2× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Sample Efficiency — 2× in this paper · explained in 4 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Actor-Critic Framework — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aleatoric Uncertainty — 1× in this paper · explained in 5 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Gaussian Processes (GPs) — 1× in this paper · explained in 2 episodes
• Model Predictive Control (MPC) — 1× in this paper · explained in 5 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Sim-to-Real Gap — 1× in this paper · explained in 6 episodes
• Sim-to-Real Transfer — 1× in this paper · explained in 2 episodes
• Stochastic Dynamics — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Safe Exploration in Markov Decision Processes
• Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics
• DeepMind Control Suite

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