World Models: Multiobjective Policy Composer
Unimore in Italy invites applications for a recognised researcher position focused on research and implementation of composable policies for multi-objective optimization in World Models (model-based reinforcement learning). The role aims to combine policies learned on separate objectives at inference time without retraining.
The successful candidate will engage in selective procedures based on qualifications and interview; country/ies of residence: OTHER.
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The successful candidate will engage in selective procedures based on qualifications and interview; country/ies of residence: OTHER.
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