Modern Reinforcement Learning Tutorial, with Python Code!
TIMESTAMPS
02:25 Q-Learning
15:00 Policy Based Learning
18:40 REINFORCE
26:00 Actor-Critic Methods
31:40 Conclusion
In this series we're going to look into the world of Reinforcement Learning!
We'll start at the absolute basics and eventually look at Deep Reinforcement Learning concepts and how we can implement them with Pytorch!
In this video we will expand on what we learnt in part 1 and see how we can learn without a model of the environment with methods like Q-Learning and Policy Learning!
Code and slides here!
https://github.com/LukeDitria/pytorch...
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