About this document
ASurveyofSafeReinforcementLearningand ConstrainedMDPs: ATechnicalSurveyon Single-AgentandMulti-AgentSafety by littletweety40 is a document available to read on EtoBox.
This survey provides a comprehensive overview of Safe Reinforcement Learning (SafeRL) and Constrained Markov Decision Processes (CMDPs), focusing on safety constraints in single-agent and multi-agent settings. It reviews theoretical foundations, state-of-the-art algorithms, and proposes five open research problems to advance the field. The document serves as a technical guide for researchers interested in incorporating safety into reinforcement learning, emphasizing key concepts and methods.
- Author
- littletweety40
- Language
- EN