SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints

arXiv:2512.23770 · cs.LG, cs.AI · Submitted 2025-12-29 · Read on arXiv

cs.LG, cs.AI

Submitted: 2025-12-29

Updated: 2026-09-27

Code: https://github.com/PKU-Alignment/safety-gymnasium

Terminology

• Reinforcement Learning — 24× in this paper · explained in 4 episodes
• Adam — 22× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Monte Carlo — 5× in this paper
• Constrained Policy Optimization — 4× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Actor — 3× in this paper · explained in 3 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Fisher Information — 3× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 3× in this paper · explained in 25 episodes
• Theoretical Guarantees — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Action Space — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Generalized Advantage Estimation — 1× in this paper
• Reward Shaping — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Embedding Safety into RL: A New Take on Trust Region Methods
• Central Path Proximal Policy Optimization
• Reward Constrained Policy Optimization
• Projection-Based Constrained Policy Optimization

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