AAMAS Best Paper Award

“Deep Residual Reinforcement Learning” received the best paper award at AAMAS 2020! Congratulations to the authors Shangtong Zhang, Wendelin Boehmer, and Shimon Whiteson.

The paper revisits Baird’s residual algorithm in deep RL. It stabilizes off-policy learning if equipped with bi-directional target net and alleviates distribution mismatch in Dyna planning.

Paper: https://arxiv.org/abs/1905.01072
Announcement: https://aamas2020.conference.auckland.ac.nz/best-paper-and-demonstration/