No-Regret Learning in Bayesian Games

By Jason D. Hartline, Vasilis Syrgkanis, É. Tardos. 2015

72 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. Chao Yu
2. Zhen-Yu Tang
3. Yu Wang
4. Xiaolong Wang
5. Huazhe Xu
6. Boyuan Chen
7. Yi Wu
8. Simon Shaolei Du

Citations in the corpus

• Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization (2021, background): “Besides, RPG helps train adaptive policies against a set of opponents, which is related to Bayesian games (Dekel et al., 2004; Hartline et al., 2015).”