PyCubeAI
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  • Overview
  • Installation
  • RL Examples
  • Filtering examples
  • Miscellaneous Examples
  • Specification
  • Resources
  • API (Python)
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PyCubeAI

Contents

  • Overview
  • Installation
    • Python installation
    • Execute tests
    • C++ installation
    • Issues with C++ installation
    • Generate documentation
  • RL Examples
    • Some basic concepts (Python)
    • TD Examples (Python)
    • Some basic concepts (C++)
    • Iterative policy evaluation on FrozenLake-v0 (C++)
    • Iterative policy evaluation on FrozenLake-v0 (Python)
    • Policy iteration on FrozenLake-v0 (C++)
    • Policy iteration on FrozenLake-v0 (Python)
    • Value iteration on FrozenLake-v0 (C++)
    • Value iteration on FrozenLake-v0 (Python)
    • SARSA on CliffWalking-v0 (C++)
    • Q-learning on CliffWalking-v0 (C++)
    • REINFORCE on CartPole-v0 (C++)
    • Q-learning CartPole-v0 (C++)
    • Double Q-learning on CartPole-v0
    • Webots controller development-getting started
    • Simple Q-learning based controller for epuck robot
  • Filtering examples
    • Extended Kalman Filter on differential driven robot (Python)
  • Miscellaneous Examples
    • Logistic regression with PyTorch (c++)
    • K-nearest neigbors classification (C++)
  • Specification
    • Reinforcement Learning 101
    • Algorithm trainer specification
    • Agent specification
    • Algorithm specification
  • Resources
    • Filtering
    • Robotics
  • API (Python)
    • Algorithms
    • Filtering
    • RL Trainers
    • episode_info
    • gym_world_wrapper
    • world_helpers
    • optimizer_type
    • pytorch_optimizer_builder

Indices and tables

  • Index

  • Module Index

  • Search Page

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© Copyright 2022, Alexandros Giavaras. Revision 899ef18a.

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