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JaxDEM

  • User guide
  • Examples
  • Contribution Guide
  • API reference
  • Benchmarks
  • GitHub
  • User guide
  • Examples
  • Contribution Guide
  • API reference
  • Benchmarks
  • GitHub

Section Navigation

  • Intro to JaxDEM Reinforcement Learning.
  • Driving Environments with a Custom Policy.
  • Minimization of bidisperse spheres (or disks).
  • Jamming of bidisperse spheres (or disks).
  • Pseudo-log trajectory rollout.
  • Imports
  • Vicsek Model

Indices

  • General Index
  • Python Module Index
  • Examples

Examples#

  • Intro to JaxDEM Reinforcement Learning.
    • Imports
    • Environment
    • Model
    • Trainer (PPO)
    • Training
    • Testing the New Policy
  • Driving Environments with a Custom Policy.
    • Imports
    • Variables
    • The Policy
    • Model and Environment
    • Environment Vectorization
    • Driving the Environment
    • Saving Data
  • Minimization of bidisperse spheres (or disks).
    • Imports
    • Parameters
    • Run the Minimization for Multiple Systems
    • Run the Minimization for a Single System
  • Jamming of bidisperse spheres (or disks).
    • Imports
    • Parameters
    • Run the Jamming Algorithm for Multiple Systems
    • Run the Jamming Algorithm for a Single System
  • Pseudo-log trajectory rollout.
  • Imports
  • Parameters
  • Run dynamics while imposing a sine-wave compression
  • Vicsek Model

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Custom Module Registration and System Usage.

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Intro to JaxDEM Reinforcement Learning.

© Copyright 2026, Carlos Andres del Valle.

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