Aqeel Labash

According to our database, Aqeel Labash authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Mind the gap: challenges of deep learning approaches to Theory of Mind.

Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente

Artif. Intell. Rev., September, 2023

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning.

Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente

CoRR, 2023

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning.

Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra

Proceedings of the International Conference on Machine Learning, 2023

2020

Perspective Taking in Deep Reinforcement Learning Agents.

Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente

Frontiers Comput. Neurosci., 2020

2018

APES: a Python toolbox for simulating reinforcement learning environments.

Aqeel Labash, Ardi Tampuu, Tambet Matiisen, Jaan Aru, Raul Vicente

CoRR, 2018

Do deep reinforcement learning agents model intentions?

Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente

CoRR, 2018