Search Results for author: Sergey Kolesnikov

Found 8 papers, 5 papers with code

Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters

no code implementations8 Oct 2021 Vladislav Kurenkov, Sergey Kolesnikov

Over the recent years, vast progress has been made in Offline Reinforcement Learning (Offline-RL) for various decision-making domains: from finance to robotics.

Decision Making Offline RL

LRWR: Large-Scale Benchmark for Lip Reading in Russian language

no code implementations14 Sep 2021 Evgeniy Egorov, Vasily Kostyumov, Mikhail Konyk, Sergey Kolesnikov

Lipreading, also known as visual speech recognition, aims to identify the speech content from videos by analyzing the visual deformations of lips and nearby areas.

Lipreading Lip Reading +1

Sample Efficient Ensemble Learning with Catalyst.RL

2 code implementations29 Mar 2020 Sergey Kolesnikov, Valentin Khrulkov

We present Catalyst. RL, an open-source PyTorch framework for reproducible and sample efficient reinforcement learning (RL) research.

Ensemble Learning

Catalyst.RL: A Distributed Framework for Reproducible RL Research

1 code implementation28 Feb 2019 Sergey Kolesnikov, Oleksii Hrinchuk

Despite the recent progress in deep reinforcement learning field (RL), and, arguably because of it, a large body of work remains to be done in reproducing and carefully comparing different RL algorithms.

Continuous Control

Run, skeleton, run: skeletal model in a physics-based simulation

1 code implementation18 Nov 2017 Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis

In this paper, we present our approach to solve a physics-based reinforcement learning challenge "Learning to Run" with objective to train physiologically-based human model to navigate a complex obstacle course as quickly as possible.

Policy Gradient Methods

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