We consider the efficacy of various forms reinforcement learning with punishment in evolving linguistic conventions context Lewis-Skyrms signalling games. show that strategy iterative is highly effective at optimal even complex It also robust and can be easily extended to a self-tuning variety learning. briefly discuss some virtues how it may related nature.

When manipulating three-dimensional data, it is possible to ensure that rotational and translational symmetries are respected by applying so-called SE(3)-equivariant models. Protein structure prediction a prominent example of task which displays these symmetries. Recent work in this area has successfully made use an model, iterative attention mechanism. Motivated application, we implement versi...

The Gibbs sampler, Metropolis’ algorithm, and similar iterative simulation methods are related to rejection sampling and importance sampling, two methods which have been traditionally thought of as non-iterative. We explore connections between importance sampling, iterative simulation, and importance-weighted resampling (SIR), and present new algorithms that combine aspects of importance sampli...