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Introducing SafeLife: Safety Benchmarks for Reinforcement Learning

Partnership on AI

The Partnership on AI (PAI) is today releasing SafeLife – a novel reinforcement learning environment that tests the safety of reinforcement learning agents and the algorithms that train them. SafeLife version 1.0 If you want to try out SafeLife for yourself, you can download the code and try playing some of the puzzle levels.

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Introducing the SafeLife Leaderboard: A Competitive Benchmark for Safer AI

Partnership on AI

Partnership on AI is excited to announce a new benchmark for the SafeLife environment hosted on Weights & Biases. In SafeLife, agents must navigate a complex, dynamic, procedurally generated environment in order to accomplish one of several goals. A series of SafeLife training runs on Weights & Biases.

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From Insight to Impact: Reflections From the 2020 All Partners Meeting

Partnership on AI

The SafeLife leaderboard, a new competitive benchmark for training non-destructive agents in an AI learning environment. Past and future workshops on how to maximize benefits and minimize harms when publishing novel AI research. Additionally, a new project examining this question through the lens of high-stakes technologies.

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Join PAI at NeurIPS 2019

Partnership on AI

PAI research scientist, Carroll Wainwright, and director of research, Peter Eckersley, will present SafeLife: a project designed to test the safety of reinforcement learning agents.

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