An example prompt for constructing PDDL models of the action "close a

Goal-conditioned policies are generally understood to be "feed-forward" circuits,

C Results in ALFRED's T ask and New T asks

Object-oriented representations in reinforcement learning have shown promise in transfer learning, with previous research introducing a propositional objectoriented framework that has provably efficient learning bounds with respect to samplecomplexity.

A popular trend in recent years is using symbolic planning models with reinforcement learning (RL) algorithms.

A.1 List of objects, containers, surfaces, and rooms in the apartment We list all the objects that are included in our experimental environment. We use the object rearrangement tasks for evaluation. The tasks are randomly sampled from different distributions. Simple: this task is to move one object in the house to the desired location. Novel Simple: this task is to move one object in the house to the desired location.