No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation

YG Hsieh, K Antonakopoulos… - Advances in …, 2022 - proceedings.neurips.cc
We examine the problem of regret minimization when the learner is involved in a continuous
game with other optimizing agents: in this case, if all players follow a no-regret algorithm, it is …