Stanford AI Lab Papers and Talks at AAAI 2022
中文摘要
Stanford AI Lab presents SAIL papers and talks at AAAI 2022, featuring partner-aware algorithms for decentralized cooperative bandit teams.
English Summary
Stanford AI Lab is presenting its research papers and talks at the virtual AAAI 2022 conference, held from February 22nd to March 1st.
The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) is being hosted virtually from February 22th - March 1st. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford. List of Accepted Papers Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams Authors: Erdem Bıyık, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh Contact: ebiyik@stanford.edu Links: Paper | Video | 2nd Video | Website Keywords: bandits, multi-agent systems, collaboration, human-robot interaction, partner-awareness Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Authors: Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill Contact: tongm@stanford.edu Links: Paper Keywords: reinforcement learning, constraints IS-Count: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling Authors: Chenlin Meng*, Enci Liu*, Willie Neiswanger, Jiaming Song, Marshall Burke, David Lobell, Stefano Ermon Contact: jesslec@stanford.edu Award…