Top 10 Companies That Crowned Hyderabad as India’s Greenfield GCC Leader in 2025
Telangana has attracted over 75 greenfield GCCs in 2025, compared with 40-plus in Karnataka.
- Published on July 28, 2021
- In AI Features
What is DrQ Algorithm by NYU & Facebook AI Research
The research is supported in part by DARPA through the Machine Common Sense Program.
- By kumar Gandharv
New York University (NYU) & Facebook Artificial Intelligence Research (FAIR) researchers, including Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto, have introduced DrQ-v2, a model-free reinforcement learning (RL) algorithm for visual continuous control. DrQ-v2 is an upgraded version of DrQ, an off-policy actor-critic approach that uses data augmentation to learn directly from pixels.
DrQ (Data regularised Q) algorithm was introduced in March 2021 by NYU & FAIR.
At present, lots of methods exist to address the sample efficiency of RL algorithms that directly learn from pixels. The approaches can be classified into two groups:
Model-based methods: Attempt to learn the system dynamics to acquire a compact latent representation of high-dimensional obser
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kumar Gandharv
Kumar Gandharv, PGD in English Journalism (IIMC, Delhi), is setting out on a journey as a tech Journalist at AIM. A keen observer of National and IR-related news.
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