Q-learning with Neural Networks
In part 3 of the reinforcement learning series we implement a neural network as the action-value function and use the Q-learning algorithm to train an agent how to play Gridworld.
Click to read and post commentsOct 30, 2015
Oct 25, 2015
Reinforcement Learning - Monte Carlo Methods
Part 2 of the RL series. A slightly deeper dive into reinforcement learning methods by learning how to use Monte Carlo simulations to learn how to play blackjack.
Click to read and post commentsOct 19, 2015
Reinforcement Learning - Part 1
The first part in a series introducing the theory, math and implementation details of reinforcement learning algorithms using Python. Here we introduce the topic with a very simple RL problem, the n-armed bandit problem.
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