We’ve covered the basics of classic (Tabular) and modern (Deep) Reinforcement Learning.
But it’s a fast changing field, where do you go next with RL?
AI is more general than ML (Prof. Crowley’s opinion) and RL is a more AI-like pursuit than ML itself. So these conferences often have a broader set of tasks and results.
Curiosity alone can often lead to good policies, but only when reward and curiosity learned dynamics are correlated.
living systems fight entropy by minimizing free energy, or surprise