Research Assistant position in the area of reinforcement learning. In particular, the selected candidate will perform research activities related to the PEARL project (Provably Efficient and Adaptive Reinforcement Learning). The PEARL project aims to develop novel algorithms based on bisimulation for measuring the distance between two reinforcement learning problems. These algorithms can be used to construct compact representations of a problem by minimizing the bisimulation distance to an unknown, high-dimensional problem. This smaller problem can then be solved and the solution projected back to the large problem.

Principal camp de recerca / Main research field: Intel.ligència Artificial / Artificial Intelligence

Tasks to be performed:

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Study of the state of the art in the field of reinforcement learning in general and bisimulation in particular. Concretely, study how bisimulation can be used to measure the distance between two reinforcement learning problems.

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Development,



implementation and evaluation of novel algorithms based on bisimulation for measuring the distance between reinforcement learning problems.

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Study how these algorithms can be used to construct compact representations of a complex problem. Carry out experiments to compare the developed algorithm with the state-of-the-art. This activity is related to the workpackage WP2 of PEARL.

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Contribution to the writing of deliverables and scientific publications that are developed within the framework of the PEARL project.

The duration of these tasks is estimated over a period of 12 months.

Main research field: Artificial Intelligence

Group and complement: Group 3 + Level s

Dedication and working hours: Part time (27,5 h/week)

Planned remuneration approx: 24K€ gross per year

Financing fund: PRESP06324 - PGC (UE-PID2023-147145NB-I00) finançat per MCIN/AEI/10.13039/501100011033/ FEDER, UE - Agencia Estatal de Investigación (AEI), el Ministerio de Ciencia, Innovación y Universidades (MICIU) y e

📌 ENG-PSR-P-23 -Specialist support technician in Reinforcement Learning (Barcelona)
🏢 Pompeu Fabra University
📍 Barcelona