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In multi-agent reinforcement learning experiments, researchers try to optimize the performance of a learning agent on a given task, in cooperation or competition with one or more agents. These agents learn by trial-and-error, and researchers may choose to have the learning algorithm play the role of two or more of the different agents.
Games alone will not make schools more efficient, cannot replace teachers or serve as an educational resource that can reach an infinite number of students. The extent of the roles games will play in learning remains to be seen. More research in this area is needed to determine impact of games and learning.
It was designed to play human opponents in games of noughts and crosses (tic-tac-toe) by returning a move for any given state of play and to refine its strategy through reinforcement learning. This was one of the first types of artificial intelligence.
A VTech educational video game. An educational video game is a video game that provides learning or training value to the player. Edutainment describes an intentional merger of video games and educational software into a single product (and could therefore also comprise more serious titles sometimes described under children's learning software).
Game-based learning (GBL) is a type of game play that has defined learning outcomes. Generally, game-based learning is designed to balance subject matter with gameplay and the ability of the player to retain, and apply said subject matter to the real world. [4] Children tend to spend hours playing hide and seek, learning the steps of digital ...
Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist in a shared environment. [ 1 ] Each agent is motivated by its own rewards, and does actions to advance its own interests; in some environments these interests are opposed to the ...
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised ...
The gamification of learning is an educational approach that seeks to motivate students by using video game design and game elements in learning environments. [ 1 ] [ 2 ] The goal is to maximize enjoyment and engagement by capturing the interest of learners and inspiring them to continue learning. [ 3 ]