Viktor Makoviychuk (ViktorM)

ViktorM

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Location:California

Twitter:@viktor_m81

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Viktor Makoviychuk's repositories

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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brax

Massively parallel rigidbody physics simulation on accelerator hardware.

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David-Silver-Reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

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dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

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Eureka

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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jupyter

Jupyter metapackage for installation, docs and chat

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robogym

Robotics Gym Environments

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rrc_simulation

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

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USD-Cookbook

A collection of simple projects for Pixar's open-source Universal Scene Description

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conda-opensim

Conda recipe for OpenSim 4.0-alpha

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fetch_ros

Open ROS Components for Robots from Fetch Robotics

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homework

Imitation Learning Homework 1

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lab

A customisable 3D platform for agent-based AI research

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lectures

Oxford Deep NLP 2017 course

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models

Models and examples built with TensorFlow

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modular_rl

Implementation of TRPO and related algorithms

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osim-rl

Reinforcement learning environments with musculoskeletal models

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pysc2

StarCraft II Learning Environment

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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rosbridge

Bridge from Gym to ROS robots

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s2client-api

StarCraft II Client - C++ library supported on Windows, Linux and Mac designed for building scripted bots and research using the SC2API.

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s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

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SNNs

Tutorials and implementations for "Self-normalizing networks"

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Stochastic_Depth

Code for "Deep Networks with Stochastic Depth"

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text2image

Generating Images from Captions with Attention

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