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Vladislav Kurenkov's Projects

bcr-project icon bcr-project

Experiments with Guided Evolutionary Strategies for Behavioral Robotics course project at Innopolis Univeristy

case-212 icon case-212

Открытое письмо специалистов IT-индустрии в защиту фигурантов «московского дела»

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

d4rl icon d4rl

A collection of reference environments for offline reinforcement learning

deeprl-grounding icon deeprl-grounding

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

hierarchical-skill-acquisition icon hierarchical-skill-acquisition

Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher

language-grounding-multigoal icon language-grounding-multigoal

An accompanying code and experiments' results for Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order

lightfm icon lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

pytorch-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

rrc_simulation icon rrc_simulation

Simulation for the Real Robot Challenge (https://real-robot-challenge.com)

td3_bc icon td3_bc

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

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