Reinforcement Learning, Nuclear Fusion, ChatGPT, Machine Learning, Deepmind.
learning in a real system is often expensive and not feasible which means we have to fall back on simulation and historical data to build models. This approach is more complicated as simulators capturing real world dynamics are difficult to build and historical data is always limited but despite