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Safe Reinforcement Learning in Constrained Markov Decision Processes

ICML 2020 · Reinforcement learning › MDPs and planning · approach: Robust MDP policy gradient · 52 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add practical early stopping of safety exploration (pes²) (ablation)SNO-MDP · Mars surface explorationReward: 0.49 -> 0.81Helped
Add theoretically guaranteed early stopping of safety exploration (es²) (ablation)SNO-MDP · Mars surface explorationReward: 0.49 -> 0.78Helped
Use SNO-MDP with pes² instead of SafeExpOpt-MDPMars surface exploration · Mars surface explorationReward: 0.59 -> 0.81Helped
Use SNO-MDP with es² instead of SafeExpOpt-MDPMars surface exploration · Mars surface explorationReward: 0.59 -> 0.78Helped
Use SNO-MDP instead of SafeMDPMars surface exploration · Mars surface explorationReward: 0.34 -> 0.49Helped
Use SNO-MDP instead of SafeExpOpt-MDPMars surface exploration · Mars surface explorationReward: 0.59 -> 0.49Hurt
Add pes² rather than es² (ablation)SNO-MDP · Mars surface explorationReward: 0.78 -> 0.81Helped
Use SNO-MDP with pes² instead of SafeMDPMars surface exploration · Mars surface explorationReward: 0.34 -> 0.81Helped

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