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aima-based-irl's Introduction

Inverse-Reinforcement-Learning-with-Python

Inverse Reinforcement Learning implementation based on Norvig's AIMA code.

birl.py is the implementation of Bayesian Inverse Reinforcement Learning (see Ramachandran, Amir 2007).

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aima-based-irl's Issues

ValueError: x and y must have same first dimension, but have shapes (2,) and (1,)

when running runner.py, got following error message:Traceback (most recent call last):
File "/Users/wenyuhuang/PycharmProjects/aima-based-irl-master/runner.py", line 202, in
main()
File "/Users/wenyuhuang/PycharmProjects/aima-based-irl-master/runner.py", line 94, in main
run_multiple_birl(birl, expert_mdp, expert_trace, number_of_iterations)
File "/Users/wenyuhuang/PycharmProjects/aima-based-irl-master/runner.py", line 130, in run_multiple_birl
plot_errors(policy_error, reward_error, directory_name, birl, i, expert_mdp, mdp)
File "/Users/wenyuhuang/PycharmProjects/aima-based-irl-master/runner.py", line 114, in plot_errors
ax2.plot(range(birl.birl_iteration), policy_error, 'ro')
File "/Users/wenyuhuang/PycharmProjects/aima-based-irl-master/venv/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 1646, in plot
lines = [*self._get_lines(*args, data=data, **kwargs)]
File "/Users/wenyuhuang/PycharmProjects/aima-based-irl-master/venv/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 216, in call
yield from self._plot_args(this, kwargs)
File "/Users/wenyuhuang/PycharmProjects/aima-based-irl-master/venv/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 342, in _plot_args
raise ValueError(f"x and y must have same first dimension, but "
ValueError: x and y must have same first dimension, but have shapes (2,) and (1,)

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