Safe continual RL methods face a fundamental tension between enforcing safety constraints and preventing catastrophic forgetting in non-stationary environments, with regularization providing only partial mitigation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Safe Continual Reinforcement Learning in Non-stationary Environments
Safe continual RL methods face a fundamental tension between enforcing safety constraints and preventing catastrophic forgetting in non-stationary environments, with regularization providing only partial mitigation.