GitHub - ling-k/RRL: supplementary code for paper "Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming"

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supplementary code for paper "Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming"

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Asterix		Asterix
AsterixSemiSupervised		AsterixSemiSupervised
BoxWorld		BoxWorld
GridWorld		GridWorld
GridWorldMinimal		GridWorldMinimal
SortOfClevr		SortOfClevr
.gitignore		.gitignore
Readme.txt		Readme.txt

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For each experiment there is a corresponding folder including a readme file with the instruction to run that experiment.

Everything has been tested on Tensorflow 1.15 and python 3.6


Libraries :
Tensorflow-gpu
numpy
pandas
gym
stable_baselines ( only needed for the A2C baseline comnparison, it is not needed for our own models. )

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supplementary code for paper "Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming"

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