Investigating Inverse Reinforcement Learning from Human Behavior: Effect of Demonstrations with Temporal Biases on Learning Rewards using Inverse Reinforcement Learning

Inverse Reinforcement Learning (IRL) is a machine learning technique used for learning rewards from the behavior of an expert agent. With complex agents, such as humans, the maximized reward may not be easily retrievable. This is because humans are prone to cognitive biases. Cognitive biases are a form of deviation from rationality that affects...