Name: Aaron Dharna
Type: User
Company: University of British Columbia
Bio: PhD student at UBC. Interested in reinforcement learning, generative models, open-endedness, and the intersection of games and machine learning.
Location: New York, NY / Vancouver, BC
Blog: aadharna.github.io
Aaron Dharna's Projects
Github Page -- forked from academicpages.github
Alpha Zero+
Calculating Metrics given large data-sets
Predicting housing costs from data
Build and train a ConvNet on the CIFAR-10 dataset
Knowledge Discovery with Customer Data
Predicting Victory in Online Team-Based Zero-Sum Games
exploring language curricula in minecraft
A grid-world game engine for game AI research
Small image processing library
Performs a K-Beam Search on the 8Queens problem
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Distance learning using the perovskite dataset SD2E
Simplifying reinforcement learning for complex game environments
Recovers the Joint PDT and MAP class (if applicable) given a BayesNet
Sutton & Barto Reinforcement Learning With OpenAI Gym
Using QLearning to learn intersection traffic laws
Building models to help students graduate
c# Script code
Co-evolution of agents and environments in GVG-AI
The only way to make sense out of change is to plunge into it, move with it, and join the dance -- Alan Watts