Robot Learning

I have implemented different learning/filtering/estimation algorithms for projects and courses in simulated environments or on real-world datasets.

Some notable algorithms include:

• Reinforcement Learning (online, offline) - EXP3, UCB, Q-learning, Value Iteration, Policy Iteration, etc

• Estimation - Kalman Filter, particle filter, Extended Kalman Filter, etc

• Machine Learning - Naive Bayesian Learning, EM algorithms, KNN, Neural Networks, boosting, etc.

• Deep Learning: GAN, CNN, MLP, RNN