Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning. (arXiv:2304.07280v1 [cs.LG])

We consider the problem of synthetically generating data that can closely
resemble human decisions made in the context of an interactive human-AI system
like a computer game. We propose a novel algorithm that can generate synthetic,
human-like, decision making data while starting from a very small set of
decision making data collected from humans. Our proposed algorithm integrates
the concept of reward shaping with an imitation learning algorithm to generate
the synthetic data. We have validated our synthetic data generation …

ai system algorithm arxiv computer concept context data decision decision making decisions game human human-like humans imitation learning interactive making novel resemble set small synthetic synthetic data