arXiv cs.LG
· Papers
Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning
arXiv:2607.21646v1 Announce Type: new Abstract: Ensuring safety in reinforcement learning under nonstationarity requires determining whether a learning system can safely adapt to forecasted environmental change within the required recovery horizon. Existing safe reinforcement learning methods typically assume stationar