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stable-baselines3

DLR-RM / stable-baselines3

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Reproducibility of results

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GigiProSerio
GigiProSerio commented Mar 27, 2021

I'll post it as a question as I am not quite sure that it is a bug. I have been experimenting for a while with the library in a custom environment for a school project and I am really interested in the reproducibility of the result. I have read the disclaimer in the documentation that reads that reproducible results are not guaranteed across multiple platforms or different versions of Pytorch. Ho

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good first issue question

SciML / DifferentialEquations.jl

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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

python r julia ode dde partial-differential-equations dynamical-systems differential-equations differentialequations sde pde dae spde stochastic-differential-equations delay-differential-equations stochastic-processes differential-algebraic-equations scientific-machine-learning neural-differential-equations sciml
  • Updated Aug 12, 2021
  • Julia

SciML / DiffEqBase.jl

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The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

ode dde partial-differential-equations differential-equations ordinary-differential-equations differentialequations sde pde dae stochastic-differential-equations delay-differential-equations differential-algebraic-equations neural-ode scientific-machine-learning neural-differential-equations sciml
  • Updated Aug 16, 2021
  • Julia

SciML / DiffEqBayes.jl

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Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

julia ode dde probabilistic-programming differential-equations stan ordinary-differential-equations sde dae stochastic-differential-equations neural-ode scientific-machine-learning neural-differential-equations scientific-ml scientific-ai sciml
  • Updated Aug 16, 2021
  • Julia

SciML / DiffEqJump.jl

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Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

ssa ode stochastic differential-equations sde gillespie jump-diffusion neural-ode scientific-machine-learning neural-differential-equations scientific-ml scientific-ai hybrid-differential-equation stochastic-jump-equations sciml
  • Updated Aug 14, 2021
  • Julia

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