Reinforcement Learning - Training the Agent in Matrix Analogy
Reinforcement Learning was mostly what the Matrix Movie was all about. All the "agents" (including neo) were adapting to the environment. They were excelling by mastering the environment. Everything is action/state/reward (or action/reaction).
We can say they were DQNs (Deep Q-Networks), utilizing q-learning (sarsamax) via Neural Network for continuous space problems.
I hope this video helps you understand the basics behind trial/error when it comes to training Agents using Deep Reinforcement Learning.
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