TY - UNPB
T1 - A Machine With Human-Like Memory Systems
AU - Kim, Taewoon
AU - Cochez, Michael
AU - Francois Lavet, Vincent
AU - Neerincx, Mark A.
AU - Vossen, Piek
PY - 2024/8/18
Y1 - 2024/8/18
N2 - 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. We have open-sourced our code and models at this https URL.
AB - 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. We have open-sourced our code and models at this https URL.
UR - https://ii.tudelft.nl/humancenteredsymbioticHI/
U2 - 10.48550/arXiv.2204.01611
DO - 10.48550/arXiv.2204.01611
M3 - Preprint
SP - 1
EP - 8
BT - A Machine With Human-Like Memory Systems
PB - arXiv.org
ER -