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Aqeel Labash

3 papers hereh-index 367 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.AI2019

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…

cs.LG2018

APES: a Python toolbox for simulating reinforcement learning environments

Aqeel Labash, Ardi Tampuu, Tambet Matiisen +2

Assisted by neural networks, reinforcement learning agents have been able to solve increasingly complex tasks over the last years. The simulation environment in which the agents in…

cs.AI2018

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…

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