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2019 GTC San Jose

S9786 - Doing More with More: Recent Achievements in Large-Scale Deep Reinforcement Learning

Session Speakers
Session Description

Learn about recent achievements in deep reinforcement learning (RL) with a focus on using large-scale compute resources. We'll cover basic algorithms, discuss development of RL agents for playing Atari games, and provide a chronology of implementations leveraging increasing amounts of hardware to achieve better results faster. We will describe large-scale RL projects in which learned agents surpassed human-level performance in the challenging games of Go, Quake III, and Dota2. For each project, we'll discuss the distinct hardware used and the techniques we developed to scale up the algorithm. These projects demonstrate a range of strategies for harnessing many CPUs and GPUs. We'll outline continued research in this area and explore the potential for more exciting results around the corner.


Additional Information
Deep Learning/AI Frameworks
AI/Deep Learning Research, Deep Learning/AI Frameworks
Gaming, General, Higher Education / Research
All technical
Talk
50 minutes
Session Schedule