Safe and Nested Endgame Solving for Imperfect-Information Games

By Noam Brown, Tuomas Sandholm. 2017

17 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yaodong Yang
2. Ying Wen
3. Jun Wang
4. Peng Peng
5. Quan Yuan
6. Zhenkun Tang
7. Haitao Long
8. Jiechuan Jiang

Citations in the corpus

• Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games (2017, background): “…extent, exceeded humanlevel perception on visual recognitions and speech recognitions, while fed with feedback reward, single AI units (aka agents) defeat humans in various games including Atari video games (Mnih et al. 2015), Go game (Silver et al. 2016), and card game (Brown and Sandholm 2017).”
• Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games (2017, background): “With supervision from labelled data, machines have, to some extent, exceeded human-level perception on visual recognitions [2, 3] and speech recognitions [4], while fed with feedback reward, single AI units (aka agents) defeat humans in various games including Atari video games [5], Go game [6], and”