论文标题
具有人类记忆系统的机器
A Machine With Human-Like Memory Systems
论文作者
论文摘要
受认知科学理论的启发，我们明确地对具有语义和情节记忆系统的代理进行了建模，并表明它比仅拥有两个内存系统之一更好。为了证明这一点，我们设计并发布了自己的具有挑战性的环境，“房间”，与Openai Gym兼容，在那里，经纪人必须正确学习如何编码，存储和检索记忆以最大程度地提高其奖励。房间环境可以在机器和人类可以协作的情况下进行混合智能设置。我们表明，两个代理商彼此合作的表现会比单独行动的代理人更好地表现。
Inspired by the cognitive science theory, we explicitly model an agent with both semantic and episodic memory systems, and show that it is better than having just one of the two memory systems. In order to show this, we have designed and released our own challenging environment, "the Room", compatible with OpenAI Gym, where an agent has to properly learn how to encode, store, and retrieve memories to maximize its rewards. The Room environment allows for a hybrid intelligence setup where machines and humans can collaborate. We show that two agents collaborating with each other results in better performance than one agent acting alone.
