Hello there.
I enjoy working on understanding the fundamentals of AI:
- Reinforcement learning
- Bayesian reasoning and statistics
Some recent projects are:
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Report abuseJava Learning from observation Framework using CBR and Bayesian Networks
Contains baseline implementations of all RL algorithms using tabular and function approximations. Algorithms such as TD(0), MC, SARSA, Q-Learning and Policy Gradient methods.
A framework that focuses on using bayesian and Dynamic Bayesian Networks to perform Learning from observation on Discrete Domains
Java 1
Python Projects using sckit-learn, tensorflow, requests, unittesting, time series prediction, weather apps, multi threading
Python 1
Contains code for teaching an agent the rules of Rock Paper Scissors