Research map / Reinforcement learning / Policy gradient and actor-critic

SafeMPO: Constrained Reinforcement Learning with Probabilistic Incremental Improvement

ICLR 2026 · Reinforcement learning › Policy gradient and actor-critic · approach: Safety layers and shielding

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Closest papers by meaning

• Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning (AAAI 2024 · similarity 0.93)
• Feasible Policy Optimization for Safe Reinforcement Learning (NeurIPS 2026 · similarity 0.93)
• Constrained Reinforcement Learning Under Model Mismatch (ICML 2024 · similarity 0.91)
• Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration (AAAI 2024 · similarity 0.91)
• Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction (NeurIPS 2026 · similarity 0.91)
• Sampling-Based Safe Reinforcement Learning (NeurIPS 2026 · similarity 0.91)