Reinforcement Learning Study

This project is a collection of things I'm using to learn Reinforcement Learning.

Trainable Agents

There are a number of different agents to train with different RL techniques.

Q-Learning

• Move to Goal

  Check the available agents that can be trained to play different versions of this environment using Q-Learning.

Deep-Q-Learning

• Mountain Car

  Train an agent that plays the MountainCar environment using Deep Q Learning for action-value function approximation.

  Go to usage instructions.

References

• Reinforcement Learning with python
• Nuts & Bolts of Reinforcement Learning: Model Based Planning using Dynamic Programming
• Reinforcement Learning: An Introduction