Solving Angry Birds with Reinforcement Learning
From International Center for Computational Logic
Solving Angry Birds with Reinforcement Learning
project thesis by Julius Gonsior
- Supervisor Sarah Alice Gaggl, Lukas Schweizer
- Computational Logic
- 11 Oktober 2016 – 23 Februar 2017
Reinforcement Learning is an area of machine learning tackling the problem, which action an agent should take to get a maximum reward. After explaining the model-free reinforcement learning technique Q-learning the result of implementing it for solving the popular puzzle video game Angry Birds is being presented.
