RLPy

RLPy

The Reinforcement Learning Library for Education and Research

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Table Of Contents

  • The RLPy API
    • Base Classes
    • Domains
    • Helper modules

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The RLPy API¶

Base Classes¶

  • Experiment
  • Agent
  • Policy
  • Representation
  • MDP Solvers
  • Domain

Domains¶

  • Acrobot with Euler Integration
  • Acrobot with Runge-Kutta Integration
  • Bicycle Balancing
  • BlocksWorld
  • Linear Chain MDP
  • Fifty-State Chain MDP
  • FlipBoard
  • GridWorld
  • HIV Treatment
  • Helicopter Hovering
  • Intruder Monitoring
  • Mountain Car
  • Persistent Search and Track Mission
  • Pacman
  • Pinball
  • PuddleWorld
  • RCCar
  • System Administrator
  • Swimmer
  • Finite Track CartPole: Balance Task
  • Finite Track CartPole: Balance Task (“Original”) per Sutton + Barto Definition
  • Finite Track CartPole: Balance Task (“Modern”) with 3 (not 2) possible actions
  • Finite Track CartPole: Swing-Up Task
  • Finite Track CartPole: Swing-Up Task with Friction
  • Infinite Track CartPole: Balance Task
  • Infinite Track CartPole: Swing-Up Task

Helper modules¶

  • Tools.run - Running Experiments in Batch
  • Tools.results - Analyzing results
  • Tools.hypersearch - Optimizing Hyperparameters

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