Explicit goal involve controlled or conscious information processing and propositional reasoning and implicit goal motives concern automatic or non-conscious information processing.
For example, you train an agent(a robot) to move this side to that side, it has many ways to reach the destination.It can crawl or roll over but the ideal case is to run or walk.
For this case we need to set other functions( like giving it an negative reward if the robot's body touch the ground, even it is close to the finish position) to guide our agent to do what we expect it to do.
The element is just like normal RL , we need a policy,reward signal,value function and a model, the difference is we add some penalties and reward additionally.
