Here’s an insightful blog post on the future of RL (reinforcement learning): Deep RL and why it’s going to be revolutionary.
Until few years back, reinforcement learning techniques were constrained on small discrete systems. An increase in state space(different parameters of the system), the memory and computation power increases exponentially. Before apply reinforcement learning techniques even continuous systems had to be discretized. Many things are now possible with the recent breakthroughs of Deep Neural Networks(DNN), and specially its approximation capability. Combining Reinforcement Learning and DNN, we have developed techniques taking advantage of both fields. The new field is called Deep Reinforcement Learning (DRL) and is responsible for unimaginable breakthroughs in many domains.