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Wednesday, July 1 • 10:30am - 10:40am
Keynote Lightning Talk: An Open-Source Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents - Joel Lehman, Senior Research Scientist, Uber

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Deep reinforcement learning (RL) is an exciting paradigm for solving real-world problems. Most research aims to improve how well RL performs, and much less effort focuses on understanding the products of deep RL -- often enormous neural network policies -- which is critical for establishing enough trust to deploy them in the real world. The open-source Atari Zoo project aims to catalyze research into understanding deep RL by reducing the barriers to entry for researchers and citizen scientists alike. A team at Uber AI trained popular RL algorithms at scale on simulated Atari 2600 games (the prototypical deep RL benchmark), and released models and code, making it easy to load, visualize, and analyze such pre-trained models. Joel Lehman describes the Atari Zoo project and highlights surprising results from initial explorations and the exciting potential for what is still left to be discovered.

avatar for Joel Lehman

Joel Lehman

Senior Research Scientist, Uber
Joel Lehman is a senior research scientist at Uber AI, where he leads efforts into AI safety research. Previously, he was the first employee of Geometric Intelligence (acquired by Uber) and a tenure-track professor at the IT University of Copenhagen, where his research focused on... Read More →

Wednesday July 1, 2020 10:30am - 10:40am CDT
Keynote Theater