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apprenticeship-learning's Introduction

Apprenticeship Learning via Inverse Reinforcement Learning

Folder

  • agent: learner and agent related files
  • car_simulator: car simulator related files
  • gridworld: gridworld related files
  • assets: utility images, expert trajectories and others

Grid World

Command line

  • python2 gridWorldLearning.py

Evaluation

  • Normal
  • Remove random
  • Specific reward
  • Specific expert trajectories

Car Simulation

Command line interface

  • python main.py -m gamemode -i maxTrainginIteration
    • gamemode: train|drive|auto

Control

  • RIGHT: move right
  • LEFT: move left
  • A/S/D/F/G: switch lane
  • R: record trajectory
  • ESC: quit game

References

  • [1] Abbeel, Pieter, and Andrew Y. Ng. "Apprenticeship learning via inverse reinforcement learning." Proceedings of the twenty-first international conference on Machine learning. ACM, 2004.

apprenticeship-learning's People

Contributors

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Watchers

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