Markov locality, which will use the language of Markov blankets. Markov blanket but not all blankets are boundaries. A Markov boundary can be thought of as the set of variables that'locally' communicate with the parameter Importantly, for Markov-locality to be of use, we would like the Markov boundaries of random variables in the model of interest to be unique. Assume all quantities are as in A.1, that the conditional independence relationships This proof relies on Lemma A.1, proved below. We wish to prove Eq. 2 Eq.

Similartoaudio-visual navigationtasks,thegoalofourembodied agentistolocalize anaudioeventvia navigating the 3D visual world; however, the agent may also seek help from a human (oracle), where the assistance is provided in free-form natural language.

Generalization to new environments remains a major challenge in deep reinforcement learning (RL). Current methods fail to generalize to unseen environments even when trained on similar settings [19, 51, 71, 11, 21, 12, 60].

Inparticular,weshowthat using the popular k (persistent) contrastive divergence approaches, with k small, the dynamics of the learned model are extremely slow and often dominated by strong out-of-equilibrium effects.