A sandbox with my own implementations of well-known reinforcement learning algorithms.
So far:
- q-learning using linear function approximation (using linear regression and gradient descent to improve the "ordering" of state's best actions)
- In progress… q-learning using a non-linear approximator (neural network) for approximating the action values