Safe Exploration
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Greatest papers with code
AI Safety Gridworlds
• deepmind/ai-safety-gridworlds
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We present a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
NeurIPS 2016 • befelix/SafeMDP
We define safety in terms of an, a priori unknown, safety constraint that depends on states and actions.
Safe Exploration in Continuous Action Spaces
We address the problem of deploying a reinforcement learning (RL) agent on a physical system such as a datacenter cooling unit or robot, where critical constraints must never be violated.