You may notice that RL jargon involves incarnating the algorithm into taking actions in situations to receive rewards. In fact, the algorithm is often referred to as an agent that acts with the environment. You can just think of it is an intelligent hardware agent that is sensing with sensors and interacting with the environment using its actuators. Therefore, it should not be a surprise that much of RL theory is applied in robotics. Now, to extend our discussion further, we need to know a few terminologies:
- Environment: An environment is any system having states and mechanisms to transition between different states. For example, the environment for a robot is the landscape or facility it operates in. ...
