320 citations · 328 across the 3 of their papers we have counts for
4 papers · 1 filter
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
Aqeel Labash, Florian Fletzer, Daniel Majoral +1
Adapting to regularities of the environment is critical for biological organisms to anticipate events and plan. A prominent example is the circadian rhythm corresponding to the int…
Perspective Taking in Deep Reinforcement Learning Agents
Aqeel Labash, Jaan Aru, Tambet Matiisen +2
Perspective taking is the ability to take the point of view of another agent. This skill is not unique to humans as it is also displayed by other animals like chimpanzees. It is an…
Do deep reinforcement learning agents model intentions?
Tambet Matiisen, Aqeel Labash, Daniel Majoral +2
Inferring other agents' mental states such as their knowledge, beliefs and intentions is thought to be essential for effective interactions with other agents. Recently, multiagent…
What deep learning can tell us about higher cognitive functions like mindreading?
Jaan Aru, Raul Vicente
Can deep learning (DL) guide our understanding of computations happening in biological brain? We will first briefly consider how DL has contributed to the research on visual object…