Artem Bolshakov (atbolsh)

atbolsh

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Location:Sarasota, FL

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Artem Bolshakov's repositories

BNN_alternate_SOTA

Reimplementation of the Quicknet from larq.zoo, with no batchnorms

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BNN_order_statistics

I use normal distribution order statistics to replace batch normalizations in binary neural networks. I show that this avoids some BatchNorm problems, with little cost.

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kArmedBandits

I play with the examples from Ch.1 of my RL book. Specifically, I build the 10-arm platform and test techniques on it.

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3354-git

Assignment 1 of Software Engineering class

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Aexam

My A Exam

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CliqueProblemV2

Same concept, rotating through a different space.

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CliqueProblemWithPruning

Quick NP experiment

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discretePlanningFamiliarization

A small space where I become more familiar with PDDL

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DLvsCAS

A short summary of my thoughts on Lample and Charton's "Deep Learning for Symbolic Mathematicss," and a comparison to Computer Algebra Systems

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gamblingRL

Da Gambling problem from the book

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GlobalLocal

Small repo to show the difference between global and local variables

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GPUutilityScripts

Small repo for utility scripts I find useful when working with GPUs. Focus is on NVIDIA gpus for AI, but future additions might be more general.

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gym-cooking

gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of CogSci 2020 conference award in computational modelling.

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Language-as-an-Abstraction-for-Hierarchical-Deep-Reinforcement-Learning

PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper

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monte-carlo-tree-search

Monte carlo tree search in python

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MountainCar

MountainCar problem from Sutton and Barto

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mqfigs

Mert Question Figure Backups

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phyre

PHYRE is a benchmark for physical reasoning.

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Policy-Gradient

Will make example work, then play rock-paper-scissors against slow-learning k-armed bandit.

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RLContinuousEval

First Continuous RL module; mostly for evaluation.

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RLproper

Monte Carlo, Time Difference methods. Classes for agents that will be used hereafter.

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spatial-reasoning

Code for the paper "Representation Learning for Grounded Spatial Reasoning"

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tictactoe

Tic Tac Toe with a Basic RL agent.

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