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cs.LG2025
SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints
Dominik Wagner, Ankit Kanwar, Luke Ong
In safety-critical domains, reinforcement learning (RL) systems must satisfy strict, zero-cost safety constraints while achieving meaningful task performance. Existing model-free m…
cs.AI2025
Near-Optimal Reinforcement Learning for Constrained Recurrence Objectives
Dominik Wagner, Leon Witzman, Luke Ong
Recurrence objectives, where a target region must be visited infinitely often, are a fundamental class of specifications for Markov decision processes (MDPs) and form the core of $…