![]() ![]() The rest of the class can then also add their datasets in the same folder to make it accessible for the whole class. However, data sharing can not be done with other groups selectively, it has to be done with the entire class.įor this create a Google drive folder (use your UT account for avoiding space requirements), put your data in the folder and share it on Piazza. ![]() You are allowed to share the data among your classmates. Inform the TAs by Nov 27th, if you work in a group. You can deliver one presentation, and enter the competition together. You are allowed to work in groups of up to 6 students. # The list top3 contains the team sizes of the top 3 teams in decreasing order of their positions in the competition.Ĭredits += The extra credit for the top 3 submissions will be dependent on their team size and can be given by the following python snippet 15 pts maximum extra credit for top 3 teams in the competition.10pts participation in competition (you need to be physically present and have your kart move).25pts writeup: Structure of the writeup, exposition, how well is the idea motivated and explained.Similarly, you will receive 0 pts if it takes more than 10 mins. You will get the full 25 pts if your tux kart completes the track in less than 5 mins. 25pts linear grading based on track completion time between 10 mins and 5 mins.25pts originality of idea: How many things did you try? Do you understand what makes tux drive?.If you do not own a laptop you may use a lab machine, but please let us know in advance. We have a tux kart competition on the last day of class.Įach team should bring a laptop capable of playing the game. A recording of you agent playing the level for reference.Try to justify every choice you made either with a sound argument. * A thorough evaluation of any aspects of your method. * A technical section, with a detailed overview of your method. * An intro and abstract outlining the method you chose and why it’s better than alternatives. A 2 page writeup describing how you managed to play tuxkart, preferably using the CVPR 2018 stylesheet.You do not need to hand in the starter code again (it’s fairly large). You should hand in your code, as a python file and any model checkpoint and parameters it uses.All the members of the team need not present. Be prepared to give a 3 min presentation on your main idea, and why you think it’s awesome. You will present your main idea to the rest of class. # up your mind here, your action will be applied with a certain delay. # Note unlike pytux, pykart is not synchronized. # Your job is to figure out what action to perform in the next step. # state is a dict with the internal game state State, obs = K.step( 4 ) # For now we just accelerate and crash # Pick your favorite number of iterations here However, it should compile just fine for any linux and mac. You have to be locally logged into a machine to use pykart, it won’t run over ssh. ![]() However, during testing we expect you to hand in just a single python file that interacts with a vanilla pykart interface. You can modify the starter code as you desire to train your model. You can perform multiple actions at once (e.g. See a the supertuxkart documentation, or tutorial for the meaning of the actions. The step function expects an action, which is a bitmask of the following values: Whenever you’re ready to interact with the game call the step function. PyKart will give you an image and basic information about the game state (see pykart/_main_.py for an example). Once the code is compiled, you’re ready to use the pykart interface to play supertux kart using python. You can also use the binary that has been compiled for the lab machines. We tested the code on one of the lab machines and it should compile. ![]()
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