Search Results for author: Dmitry Nikulin

Found 3 papers, 2 papers with code

Vision-Language Models as a Source of Rewards

no code implementations • 14 Dec 2023 • Kate Baumli, Satinder Baveja, Feryal Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Dmitry Nikulin, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang

Building generalist agents that can accomplish many goals in rich open-ended environments is one of the research frontiers for reinforcement learning.

reinforcement-learning Reinforcement Learning

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Perceptual Gradient Networks

1 code implementation • 5 May 2021 • Dmitry Nikulin, Roman Suvorov, Aleksei Ivakhnenko, Victor Lempitsky

The use of perceptual loss however incurs repeated forward-backward passes in a large image classification network as well as a considerable memory overhead required to store the activations of this network.

image-classification Image Classification +1

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Free-Lunch Saliency via Attention in Atari Agents

1 code implementation • 7 Aug 2019 • Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey Nikolenko

We show experimentally that a network with an FLS module exhibits performance similar to the baseline (i. e., it is "free", with no performance cost) and can be used as a drop-in replacement for reinforcement learning agents.

Decision Making Deep Reinforcement Learning +2

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