Reinforcement Learning

Assignments of the Reinforcement Learning course (EL2805) at KTH.

The repository provides a Python package, which includes:

• Dynamic programming algorithms for the exact solution of MDPs
• RL algorithms
• Simulators for problems modeled as MDPs

You can install the Python package as follows:

pip install -e .

Additionally, the repository contains documentation (instructions and reports), scripts and tests. You can run scripts and tests as follows:

python scripts/<script_name>  # run a particular script
python -m unittest            # run all tests

Available algorithms:

• Dynamic programming
• Value iteration
• Q-learning
• SARSA
• λ-SARSA
• DQN
• DDPG
• PPO

The missing algorithms have been implemented by my lab partner and can be found in his repository.