Reinforcement learning is a sequential decision making framework that has received a lot of attention given incredible results from DeepMind, DQN and AlphaGo. More recently DeepMind delivered a more general AI game player call AlphaZero, which learns by self-play.
During this session we will introduce you the key ideas behind AlphaZero:
- Reinforcement Learning and Value function
- MonteCarlo Tree Search
We will explore how they contribute to beat greatest Go player of our time, in Python.
- Introduction to AI in games
- What AlphaZero is made of? (Boring theory)
- How to build your own AlphaZero? (Cool code)
in __on domenica 22 aprile at 15:30 **See schedule**