👉 "Need Gates" is a concept from the field of machine learning, specifically in the context of reinforcement learning. It refers to the ability of an agent (in this case, a robot) to take actions that are not feasible for it to perform, but have potential benefits or rewards. In the context of need gates, an agent needs to consider both its current state and the potential outcomes of taking different actions. The agent can then make decisions based on these considerations, using a set of rules (
