Train Station, Reinforcement Learning, Machine Learning, Editors Pick, Thoughts And Theory.
reinforcement learning. Briefly, in RL, an agent interacts with the environment in discrete time or continuously. At time step, the agent applies an action according to the current state of the environment according to certain policy, leading to a new state and receiving a reward which measures the