Postdoc in Reinforcement Learning

Postdoc in Reinforcement Learning

2 years post

Montanuniversität Leoben

Leoben, Austria

About the project

Reinforcement learning (RL) has been successful in applications, but theory has not been able to guarantee reliability and robustness of the used algorithms. One reason is that RL theory focuses on optimization, while practical RL problems are task-oriented so that optimality doesn't play any role. We aim at a restart of RL theory by replacing the optimality paradigm by a criterion based on satisficing, which will alleviate the development and analysis of algorithms. If successful our research project will finally develop RL theory that is useful and applicable to practical RL problems.

Jobs

We are looking for a PostDoc with strong background in mathematics (such as dynamic programming, probability theory, statistics, optimization, OR) and interest in reinforcement learning. Highly qualified PhD candidates might be considered as well.

 

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Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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