标题： 面向对象的状态编辑用于分层强化学习 显示英文标题

标题： Object-oriented state editing for HRL

摘要： 我们引入了使用面向对象推理的代理，以考虑世界的替代状态，从而更快地找到问题的解决方案。 具体而言，分层控制器指导低级代理表现得好像场景中的物体被添加、删除或修改。 控制器采取的动作是在场景的基于图的表示上定义的，动作对应于添加、删除或编辑图的节点。 我们在三个环境中展示了初步结果，证明我们的方法可以达到与非分层代理相似的奖励水平，但数据效率更好。 显示英文摘要

摘要： We introduce agents that use object-oriented reasoning to consider alternate states of the world in order to more quickly find solutions to problems. Specifically, a hierarchical controller directs a low-level agent to behave as if objects in the scene were added, deleted, or modified. The actions taken by the controller are defined over a graph-based representation of the scene, with actions corresponding to adding, deleting, or editing the nodes of a graph. We present preliminary results on three environments, demonstrating that our approach can achieve similar levels of reward as non-hierarchical agents, but with better data efficiency.