27 Nov 2017
We present a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
We define safety in terms of an, a priori unknown, safety constraint that depends on states and actions.
26 Jan 2018
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.