Work
Advice
Notes
- Bayesian reinforcement learning (code).
- Calculus.
- Linear algebra.
- Machine learning.
- Measure-theoretic probability.
- Neural networks (code).
- Probabilistic graphical models (code).
- Reinforcement learning (even more code).
- Scientific visualization.
- Stochastic bandit theory.
Projects
- Colosseum.
- LeanBandits (ongoing collaboration).
- Hindsight policy gradients.
- Posterior sampling for deep reinforcement learning.
Teaching
- Neural Networks and Deep Learning.
- Statistical Planning and Reinforcement Learning.