s-sd / intro_to_deep_rl

Introduction to deep reinforcement learning

Contact: [e-mail]

This repository contains code for the COMP0090 guest lecture on reinforcement learning.

We present three examples of simple reinforcement learning (RL) problems:

1. solving_cartpole.py: This script contains code to solve cartpole using the RL package stable-baselines.
2. path_selection_env.py: This script contains code to build and solve a simple path selection game, using the gym and stable-baselines packages respectively.
3. guessing_game_env.py: This script contains code to build and solve a simple guessing game, using the gym and stable-baselines packages respectively (the environment in this script is adapted from an open-source implementation).