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Machine Learning

June 24, 2020 / Last updated : February 21, 2021 irfan Events

Panel of ML@GT Researchers working on Covid-19 Relief

Honored to have been asked to moderate a panel of ML@GT researchers who stepped up to respond to the COVID-19 crisis. See the video of the panel below. The coronavirus (Covid-19) pandemic has wreaked havoc on the world, spurring researchers across disciplines into action to help human-kind. Four researchers affiliated with the Machine Learning Center at […]

April 27, 2020 / Last updated : February 21, 2021 irfan ICLR

Paper in ICLR 2020 on “DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames”

We present Decentralized Distributed Proximal Policy Optimization (DD-PPO), a method for distributed reinforcement learning in resource-intensive simulated environments. DD-PPO is distributed (uses multiple machines), decentralized (lacks a centralized server), and synchronous (no computation is ever ‘stale’), making it conceptually simple and easy to implement.

November 2, 2019 / Last updated : February 21, 2021 irfan ICCV

Paper in ICCV Workshop on Geometry Meets Deep Learning Workshop on “Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction”