Pinned Repositories
coding-tests
CS188-Project-1
In this project, your Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. You will build general search algorithms and apply them to Pacman scenarios.
CS188-Project-2
In this project, you will design agents for the classic version of Pacman, including ghosts. Along the way, you will implement both minimax and expectimax search and try your hand at evaluation function design.
CS188-Project-3
In this project, you will implement value iteration and Q-learning. You will test your agents first on Gridworld (from class), then apply them to a simulated robot controller (Crawler) and Pacman.
CS188-Project-4
In this project, you will design Pacman agents that use sensors to locate and eat invisible ghosts. You'll advance from locating single, stationary ghosts to hunting packs of multiple moving ghosts with ruthless efficiency.
flask-cookiecutter
lexpredict-lexnlp-no-sklearn
LexNLP by LexPredict without sklearn stuff
remarko
WIP Rust CLI for file syncing with remarkable
rnn_midi_generator
spacedog
joshkarlin's Repositories
joshkarlin/CS188-Project-1
In this project, your Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. You will build general search algorithms and apply them to Pacman scenarios.
joshkarlin/CS188-Project-4
In this project, you will design Pacman agents that use sensors to locate and eat invisible ghosts. You'll advance from locating single, stationary ghosts to hunting packs of multiple moving ghosts with ruthless efficiency.
joshkarlin/CS188-Project-2
In this project, you will design agents for the classic version of Pacman, including ghosts. Along the way, you will implement both minimax and expectimax search and try your hand at evaluation function design.
joshkarlin/coding-tests
joshkarlin/CS188-Project-3
In this project, you will implement value iteration and Q-learning. You will test your agents first on Gridworld (from class), then apply them to a simulated robot controller (Crawler) and Pacman.
joshkarlin/flask-cookiecutter
joshkarlin/lexpredict-lexnlp-no-sklearn
LexNLP by LexPredict without sklearn stuff
joshkarlin/remarko
WIP Rust CLI for file syncing with remarkable
joshkarlin/rnn_midi_generator
joshkarlin/spacedog
joshkarlin/started_playing_with_github_pages
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