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Thorsten Joachims

2 papers indexed here

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Book Open access Sep 2026

CONSEQUENCES '26 — The 5th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems

Real-world embodiments of recommender systems are increasingly often posed as decision-making systems, imposing consequences on the world around them. The literature on causal and counterfactual inference allows us to reason about these consequences, and better understand their implications. Whilst this research area h...

Olivier Jeunen, Harrie Oosterhuis, Flavian Vasile et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Learning to Sell: Reinforcement Learning for Strategic Large Language Model Agents in Multi-Product Markets

This paper develops a machine learning approach for training such agents to act effectively as sellers in a multi-item bargaining environment, where a seller concurrently negotiates a catalog of substitutable assets across a pool of independent buyers.

S. Liu, Claire Chen, Jiuqi Wang et al. · 1 citation

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