/rl-workshops

Reinforcement Learning workshops

Primary LanguageJupyter Notebook

Reinforcement Learning Workshop

Getting started

  1. Download and install latest Anaconda / Miniconda for Python 3.8
  2. conda create -n sls python=3.7
  3. conda activate sls
  4. pip install -r requirements.txt

Workshop 1

Dynamic programming workshop. Implement policy iteration and value iteration to solve the FrozenLake environment.

Workshop 2

TD and DQN workshop. Implement Q-learning, SARSA and DQN to solve the CartPole and MountainCar environments.

Workshop 3

DRL on enterprise application workshop. Implement DQN to solve a price optimization problem.