AgentOWL jointly learns an abstract world model and hierarchical neural options to acquire more skills with less data and better generalization than baselines on Object-Centric Atari games.
Now, I want you to list 4 possible features of the input list of objects has that allows us to achieve the goal of ’{goal}’
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Joint Learning of Hierarchical Neural Options and Abstract World Model
AgentOWL jointly learns an abstract world model and hierarchical neural options to acquire more skills with less data and better generalization than baselines on Object-Centric Atari games.