lrl
latest
  • General
    • Overview
    • Content
    • Installation Instructions
    • Acknowledgements and Contributions
  • Tutorials
    • Example Case using Racetrack
      • Boilerplate
      • Initialize an Environment
      • Solve with Value Iteration and Interrogate Solution
      • Plotting Results
      • Solving with Policy Iteration and Comparing to Value Iteration
      • Solve with Q-Learning
    • Example Case using RewardingFrozenLake
      • Boilerplate
      • Initialize an Environment
      • Solve with Value Iteration and Interrogate Solution
      • Plotting Results
      • Solving with Policy Iteration and Comparing to Value Iteration
      • Solve with Q-Learning
  • API
    • Solvers
    • Environments
    • Experiment Runners
    • Plotting
    • Data Stores
    • Miscellaneous Utilities
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TutorialsΒΆ

See the below examples, plus look at the examples directory in the package for an example of how to run many cases in batch mode (for running parameter searches, etc.) and for copies of the below examples as notebooks.

  • Example Case using Racetrack
    • Boilerplate
    • Initialize an Environment
    • Solve with Value Iteration and Interrogate Solution
    • Plotting Results
    • Solving with Policy Iteration and Comparing to Value Iteration
    • Solve with Q-Learning
  • Example Case using RewardingFrozenLake
    • Boilerplate
    • Initialize an Environment
    • Solve with Value Iteration and Interrogate Solution
    • Plotting Results
    • Solving with Policy Iteration and Comparing to Value Iteration
    • Solve with Q-Learning
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© Copyright 2019, Andrew Scribner Revision 447a73d6.

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