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[Advanced Topics in RL] Distributed RL & Parallel Training
Parallel Reinforcement Learning
WarpDrive: Orders of Magnitude Faster Multi-Agent Deep RL on a GPU
M4LA 2021 - Anna Goldie - Model Parallelism and Chip Floorplanning with Deep Reinforcement Learning
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Last Updated: October 14, 2026
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We present a training set-up that achieves fast policy generation for real-world robotic tasks by using Link to paper: arxiv.org/abs/2109.11978 Assignment 2 of the AI832 Are your predictive analytics projects ready for the new speed and scale of business? Staying competitive requires an ability to ... Xiao Hu (University of Waterloo) simons.berkeley.edu/talks/xiao-hu-university-waterloo-2023-09-08 Meet the Fellows ... by Frank McQuillan At: FOSDEM 2020 video.fosdem.org/2020/UB5.132/mppdb.webm In this session we will present an ... UIUC ECE508/CS508 Spring 2019 - Manycore Parallel Algorithms (Textbook: Programming Discrepancy between the explosive growth rate in data volumes and the improvement trends in pro- cessing and memory access ... ... about is a3c which is asynchronous Untrained, partially trained and Fully trained example videos for quadrotor visual navigation. DQN was used to train a quadrotor to ... Speakers: Stephan Zheng, Lead Research Scientist, Salesforce Stephan Zheng ( stephanzheng.com) leads the AI ...
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