Triple

Target class: gridworld environment
Context triple: [Minigrid, instanceOf, gridworld environment]

• A. reinforcement learning environment collection chosen
  A reinforcement learning environment collection is an organized set of diverse, standardized simulation or task environments designed to train, evaluate, and benchmark reinforcement learning agents.
• B. reinforcement learning library
  A reinforcement learning library is a software toolkit that provides algorithms, environments, and utilities to design, train, evaluate, and deploy agents that learn optimal behaviors through trial-and-error interactions with their environment.
• C. Monte Carlo reinforcement learning algorithm
  A Monte Carlo reinforcement learning algorithm is a method that learns optimal policies by estimating value functions from complete, sampled episodes of experience without requiring a model of the environment’s dynamics.
• D. space-time agent
  A space-time agent is an autonomous entity capable of perceiving, reasoning about, and acting within both spatial and temporal dimensions to influence events and configurations across time.
• E. graphical programming environment
  A graphical programming environment is a software system that allows users to create, modify, and connect program elements visually (often via drag-and-drop blocks or diagrams) instead of writing traditional text-based code.
• F. None of above.