27 Nov 2017
We present a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
22 Mar 2018
However, these methods typically do not provide any safety guarantees, which prevents their use in safety-critical, real-world applications.
We define safety in terms of an, a priori unknown, safety constraint that depends on states and actions.
21 Jun 2016
Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of AI technologies on society.
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.