Do you consider making a physics engine (for RL) worth it?

This page summarizes the projects mentioned and recommended in the original post on /r/rust

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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SaaSHub helps you find the best software and product alternatives
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  1. rapier

    2D and 3D physics engines focused on performance.

    Not a direct answer to your question but have you taken a look at Rapier? It doesn't have GPU parallelization but it does have SIMD support and CPU parallelization.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. Enzyme

    High-performance automatic differentiation of LLVM and MLIR. (by EnzymeAD)

    For autodiff, we are currently working again on publishing a new Enzyme (https://enzyme.mit.edu) Frontend for Rust which can also handle pure Rust types, first version should be done in ~ a week.

  4. dfdx

    Deep learning in Rust, with shape checked tensors and neural networks

    Shameless plug for my crate dfdx https://github.com/coreylowman/dfdx for auto diff, more similar to pytorch than jax though.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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