Action Selection is like choosing what to do next in a game based on the situation you’re in. Imagine you’re playing a video game where you need to decide whether to jump, run, or hide depending on what’s happening on the screen.
In a video game, you make these choices based on the game’s rules and what’s happening around your character. For example, if you see an obstacle ahead, you might choose to jump over it. If enemies are nearby, you might decide to hide or run away. This decision-making process is similar to how action selection works in systems like robots or computer programs.
When a computer or robot needs to decide what to do, it looks at the current situation and evaluates its options. Just like in the game, it considers what actions are possible and which one will be the most effective. The system uses rules or algorithms to make the best choice based on the current circumstances.
For instance, if a robot is navigating a room and detects an obstacle, it might decide to go around it or find another path. The robot uses its “action selection” process to choose the best action to achieve its goal, like reaching a specific location.
In simple terms, Action Selection is about making decisions on what to do next based on the current situation and available options, much like choosing the best move in a game to achieve your goal.
