1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Deep Generative Multi-Agent Imitation Model as a Computational Benchmark for Evaluating Human Performance in Complex Interactive Tasks: A Case Study in Football
Chaoyi Gu, Varuna De Silva
Evaluating the performance of human is a common need across many applications, such as in engineering and sports. When evaluating human performance in completing complex and intera…
cs.LG2023★ 1 cited
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football
Chaoyi Gu, Varuna De Silva, Corentin Artaud +1
Artificial Intelligence has been used to help human complete difficult tasks in complicated environments by providing optimized strategies for decision-making or replacing the manu…