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Aqeel Labash

5 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 author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedMind the gap: Challenges of deep learning approaches to Theory of Mind

33 citations · 34 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.LG2018★ 1 cited

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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