Search Results for author: Abhishek Kadian

Found 8 papers, 6 papers with code

Visualizing Information Bottleneck through Variational Inference

no code implementations24 Dec 2022 Cipta Herwana, Abhishek Kadian

The Information Bottleneck theory provides a theoretical and computational framework for finding approximate minimum sufficient statistics.

Variational Inference

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

8 code implementations ICLR 2020 Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra

We leverage this scaling to train an agent for 2. 5 Billion steps of experience (the equivalent of 80 years of human experience) -- over 6 months of GPU-time training in under 3 days of wall-clock time with 64 GPUs.

Autonomous Navigation Navigate +2

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