Resources for learning and applying reinforcement learning

Many potential applications of AI will rely on a mixture of classical AI, reinforcement learning and machine learning. Everything that involves actions of an intelligent agent might more on the reinforcement learning side. However, good learning resources are rare. Perhaps the most comprehensive resources for learning reinforcement learning is OpenAI’s Spinning up in Deep RL. If you are interested in “debugging” such an intelligent agent, you might look into “Inverse Reinforcement Learning” (https://people.eecs.berkeley.edu/~pabbeel/cs287-fa12/slides/inverseRL.pdf). The deep reinforcement learning course by Thomas Simonini is recommended as well.