stanfordasl / aa203-homework

Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.

AA203-Homework

Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.

See the AA203 course website for more information on the class, including the homework assignments corresponding to this code.

Setup tips

We recommend using a virtual environment to manage python dependencies (for instance, using conda or pyenv). You'll need Python >=3.7 (newer versions preferred)

Dependencies can be found in the requirements.txt file. To install these, pip install -r requirements.txt with your environment activated.

If you're brand-new to Python, VSCode, or are wondering how to get things running on Windows, check out some more extensive tips here. This is entirely optional - you might have your own preferred workflow, so go ahead and use that.

aa203-homework's Issues

Issues encountered with `tqdm` when running in Google colab

Hi,

The following error occured when running the code in Google colab (HW3, cartpole):

File ["<ipython-input-3-01b057db421f>"](https://localhost:8080/#), line 51
    for i in (prog_bar := tqdm(range(max_iters))):
                       ^
SyntaxError: invalid syntax

Function output is incorrectly matched (P and p are swapped)

AA203-Homework/HW2/ilqr_solution.m

Line 54 in 6bbab75

[lt,Lt,P,p] = backward_riccati_recursion(P,p,A,B,Q,q,R,r);