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Found 2 papers, 1 papers with code
Safe Reinforcement Learning using Data-Driven Predictive Control
If there is an intersection between the reachable set of the robot using the proposed action, we call the data-driven predictive controller to find the closest safe action to the proposed unsafe action.
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Reinforcement learning (RL) is capable of sophisticated motion planning and control for robots in uncertain environments.
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