AI Safety Gridworlds Jan Leike DeepMind Miljan Martic DeepMind Victoria Krakovna DeepMind Pedro A. Ortega DeepMind Tom Everitt DeepMind Australian National University Andrew Lefrancq DeepMind Laurent Orseau DeepMind Shane Legg DeepMind Abstract We present a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.

Home › AI › AI Safety Gridworlds As AI systems become more general and more useful in the real world, ensuring they behave safely will become even more important. To date, the majority of AI safety research has focused on developing a theoretical understanding about the nature and causes…

.. This allows us to categorize AI safety problems into robustness and specification problems, depending on whether the performance function corresponds to the observed reward function. AI safety gridworlds [1] J. Leike, M. Martic, V. Krakovna, P.A Ortega, T. Everitt, L. Orseau, and S. Legg. AI safety gridworlds. arXiv:1711.09883, 2017. Previous AI Safety Gridworlds.

Ai safety gridworlds

These environments are implemented in pycolab, a highly-customisable gridworld game engine with some batteries included. For more information, see the accompanying research paper. AI Safety Gridworlds Abstract . We present a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. These problems This nascent field of AI safety still lacks a general consensus on its research problems, and there have been several recent efforts to turn these concerns into technical problems on which we can make direct progress (Soares and Fallenstein, 2014; Russell et al., 2015; Taylor et al., 2016; Amodei et al., 2016).

Issue Date, Title, Author(s). 12-Nov-2019, Creating safer reward functions for reinforcement learning agents in the gridworld · De Biase, Andres; Namgaudis,

Open a new terminal window ( iterm2 on Mac, gnome-terminal or xterm on linux work best, avoid tmux / Dependencies. Python 2 (with enum34 support) or Python 3. We tested it with all the commonly used Python minor versions Environments.

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Robert Miles Got an AI safety idea? Now you can test it out!

2. AI Solves 50-Year-Old Biology 'Grand Challenge' Decades Before Experts Predicted. News. From AI Safety Gridworlds.
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2019 รถยนต์ที่ติดตั้งระบบ AI for Road Safety นี้ จะมาพร้อมกับกล้องที่จับภาพใบหน้าของ พนักงานขับ และระบบ GPS สำหรับตรวจจับความเร็วของตัวรถ โดยภาพใบหน้า How AI, drones and cameras are keeping our roads and bridges safe.

To measure compliance with the intended safe behavior, we equip each Our new paper builds on a recent shift towards empirical testing (see Concrete Problems in AI Safety) and introduces a selection of simple reinforcement learning environments designed specifically to measure ‘safe behaviours’. These nine environments are called gridworlds.
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图：pixabay原文来源：DeepMind Blog、arXiv、GitHub作者：Victoria Krakovna、Jan Leike、Laurent Orseau「雷克世界」编译：嗯~阿童木呀、哆啦A亮随着人工智能系统在现实世界中变得日益普遍和有用，确保它们的安全行为也将成为工作中的重点。

In the AI safety gridworlds paper an environment is introduced to measure success on reward hacking. The 409, 2017. AI safety gridworlds. J Leike, M Martic, V Krakovna, PA Ortega, T Everitt, A Lefrancq, L Orseau, arXiv preprint arXiv:1711.09883, 2017. 168, 2017.