Safety-Gymnasium
Emerging10papers using it
2024first seen
The 'Safety-Gymnasium' is a benchmark dataset used to evaluate the performance of algorithms in ensuring safety and fairness in automated systems, particularly in the context of constrained policy optimization for order matching.
Papers using Safety-Gymnasium (10)
- Safe Langevin Soft Actor CriticEpigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement LearningNightmare Dreamer: Dreaming About Unsafe States And Planning AheadSB-TRPO: Towards Safe Reinforcement Learning with Hard ConstraintsKFCPO: Kronecker-Factored Approximated Constrained Policy OptimizationAdversarial Constrained Policy Optimization: Improving Constrained
Reinforcement Learning by Adapting BudgetsHuman-Aligned Skill Discovery: Balancing Behaviour Exploration and
AlignmentProvably Optimal Reinforcement Learning under Safety FilteringConstrained Policy Optimization for Provably Fair Order MatchingOptimistic Exploration for Risk-Averse Constrained Reinforcement Learning