Thesegames were chosen soastocovertwonatural application domains for EFCE: conflict resolution via a mediator,andbargainingandnegotiation.

Also, inrecent years there has been growing synergybetween the game theory6 community andthebroader machine learning community. We'll include this discussion in the final version of the paper.[Re"...n-player27 variants..."] Interesting question! "...fictitious play..."] Yes, fictitious play could be used in this case.40 Going forward, an interesting challenge will be around employing abstraction and approximation55 techniques that will allow one to scale to larger games and construct mediators that can handle larger interactions.56

Neural Information Processing Systems http://nips.cc/

There are still, however, some unsolved challenges for a successful deployment of RL such as efficient learning of constrained or safe Markov Decision Processes (MDPs) [4].

Wethen develop an information rectification module (IRM) and a distribution guided distillation (DGD) scheme for fully quantized vision transformers (Q-ViT) to effectively eliminate such distortion, leading to a fully quantized ViTs.

Variational autoencoders (VAE)areapowerful andwidely-used classofmodels to learn complex data distributions in an unsupervised fashion.

We determine the sample complexity of pure exploration bandit problems with multiple goodanswers.