Beyond Winning and Losing: Modeling Human Motivations and Behaviors with Vector-valued Inverse Reinforcement Learning

no code implementations • 27 Sep 2018 • Baoxiang Wang, Tongfang Sun, Xianjun Sam Zheng

In recent years, reinforcement learning methods have been applied to model gameplay with great success, achieving super-human performance in various environments, such as Atari, Go and Poker.

Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning

no code implementations • 1 Jul 2018 • Baoxiang Wang, Tongfang Sun, Xianjun Sam Zheng

Using the results of motivation modeling, we also predict and explain their diverse gameplay behaviors and provide a quantitative assessment of how the redesign of the game environment impacts players' behaviors.

reinforcement-learning Reinforcement Learning (RL)