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Fouad Bahrpeyma

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#artificial intelligence Preprint Sep 2026

AssemblyGrid v1: A Benchmark for Multi-Robot Production with Temporary Coalitions, Local Information, and Geometric Constraints

AssemblyGrid v1 is introduced, a reproducible benchmark for repeated multi-robot production that combines explicit process progression, decentralized observations, material transfer, temporary multi-robot coalitions, productive concurrency, and geometry-dependent feasibility within one task-level formulation.

Fouad Bahrpeyma, David Heik, Dirk Reichelt · 0 citations
Preprint Aug 2026

A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning

A unified analytical framework for comparing dynamic reward shaping and neighbouring adaptive reward mechanisms is introduced, which distinguishes parametric revision from state-dependent variation, separates additive shaping from reward replacement and reward-adjacent guidance, and organises existing methods along tem...

Fouad Bahrpeyma · 0 citations

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