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hybridlearning's Introduction

Installation

  • Simulations were run on python 3.6 (and 3.7) with pytorch 1.7.1 (both with and without GPU)
  • Other Python Simulation Dependencies: numpy, gym, pyyaml, pybullet, mujoco-py, roboschool
  • Python Visualization Dependencies: matplotlib, ipython, jupyterlab, seaborns

Environments Modifications

  • Some versions of the roboschool environments do not properly initialize the swingup environment. If you run the RoboschoolInvertedPendulumSwingup environment, and it appears to be doing the balance task, check roboschool/gym_pendulums.py the __init__() function for the RoboschoolInvertedPendulumSwingup task. The __init__() function should include RoboschoolInvertedPendulum.__init__(self,swingup=True)
  • The gym Acrobot environment was modified to test in the continuous space and the reward function was updated to include a dependency on the action and the state. The details can be viewed in /envs/continuous_acrobot.py

hybridlearning's People

Contributors

i-abr avatar apinosky avatar tooflesswulf avatar adityakapoor74 avatar singh-manpreet96 avatar raghavvgoel avatar

Watchers

Thomas Wei avatar

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