Foerster, Jakob

TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation

Cook, J., Rocktäschel, T., Foerster, J., Aumiller, D., & Wang, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

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GitSwarm: Decentralized Compounding Inference

Shah, V., Samanta, A., Dahal, P., Plekhanov, M., Wu, C.-J., Yih, S., Munos, R., Fergus, R., Foerster, J., Salakhutdinov, R., et al. (2026) · arXiv

Scientific Computing and Data ManagementAI-based Problem Solving and Planning

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Refining Minimax Regret for Unsupervised Environment Design

Beukman, M., Coward, S., Matthews, M., Fellows, M., Jiang, M., Dennis, M., & Foerster, J. (2024) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

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Hyperagents

Zhang, J., Zhao, B., Yang, W., Foerster, J., Clune, J., Jiang, M., Devlin, S., & Shavrina, T. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

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Improving Regret Approximation for Unsupervised Dynamic Environment Generation

Mead, H., Lacerda, B., Foerster, J., & Hawes, N. (2026) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

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