Pinned Repositories
crazy-self-driving-taxi
Using arrow direction detection, potentially teaching a program to play Crazy Taxi using OpenCV (and later Deep RL!)
cv-arrow-detection
A simple attempt to use OpenCv's HoughLines to detect arrows.
cv-stone-auto-combine
Template match stones and combine them automatically in GrowStone - using OpenCV.
dota2-predictor
Tool that predicts the outcome of a Dota 2 game using Machine Learning
flask-plotly-sentiment-analysis
Creates a pie chart using Plotly, Flask and sentiment analysis off posts from /r/askpolitics.
rl-bh-environment
A reinforcement learning environment and agent for a Touhou/bullet hell inspired game: Sacred Curry Shooter.
RL-grid-world
Implementation of RL algorithms (Q,SARSA,DOUBLE-Q,EXPECTED SARSA) in Grid World
RL-multi-armed-bandit
Implementation of epsilon-greedy, linear reward penalty and linear reward action for Multi Armed Bandit problem.
rl-snake
A reinforcement learning agent that learns to play Snake through Deep Reinforcement Learning (DQN).
rl-study-tictactoe-statemin
Short study of using reinforcement learning to train agents to play Tic Tac Toe, and comparing performance of agents with and without state minimization.
michael-pacheco's Repositories
michael-pacheco/rl-bh-environment
A reinforcement learning environment and agent for a Touhou/bullet hell inspired game: Sacred Curry Shooter.
michael-pacheco/cv-arrow-detection
A simple attempt to use OpenCv's HoughLines to detect arrows.
michael-pacheco/rl-snake
A reinforcement learning agent that learns to play Snake through Deep Reinforcement Learning (DQN).
michael-pacheco/RL-multi-armed-bandit
Implementation of epsilon-greedy, linear reward penalty and linear reward action for Multi Armed Bandit problem.
michael-pacheco/cv-stone-auto-combine
Template match stones and combine them automatically in GrowStone - using OpenCV.
michael-pacheco/flask-plotly-sentiment-analysis
Creates a pie chart using Plotly, Flask and sentiment analysis off posts from /r/askpolitics.
michael-pacheco/RL-grid-world
Implementation of RL algorithms (Q,SARSA,DOUBLE-Q,EXPECTED SARSA) in Grid World
michael-pacheco/rl-study-tictactoe-statemin
Short study of using reinforcement learning to train agents to play Tic Tac Toe, and comparing performance of agents with and without state minimization.
michael-pacheco/crazy-self-driving-taxi
Using arrow direction detection, potentially teaching a program to play Crazy Taxi using OpenCV (and later Deep RL!)
michael-pacheco/dota2-predictor
Tool that predicts the outcome of a Dota 2 game using Machine Learning
michael-pacheco/flask-d3-wordcloud
Example of generating a wordcloud using d3-wordcloud and serving it on a Flask web server.
michael-pacheco/flask-network-graph
Displays a network graph from a user-inputted Reddit submission.
michael-pacheco/flask-plotly-overtime
Creates a bar chart using Flask, Plotly and data from Reddit.
michael-pacheco/flask-plotly-top-ten
Creates a pie chart using Plotly and Flask that finds out the top ten most mentioned programming languages from /r/askcomputerscience in 2016.
michael-pacheco/gym-dolphin
Nintendo GameCube and Wii games for OpenAI gym using the Dolphin emulator.
michael-pacheco/michael-pacheco.github.io
michael-pacheco/mmd
ML models often mispredict, and it is hard to tell when and why. We present a data mining based approach to discover whether there is a certain form of data that particular causes the model to mispredict.