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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Affine multiplexing networks: System analysis, learning, and computation Permalink
Published in arXiv, 2018
Recommended citation: I. Papusha, U. Topcu, S. Car, N. Lauffer. arXiv preprint 2018. /files/amnet2018.pdf
Expedited Learning in MDPs with Side Information Permalink
Published in ACC, 2018
Recommended citation: M. Ornik, J. Fu, N. Lauffer, K. W. Perera, M. Alshiekh, M. Ono, and U. Topcu. CDC 2018. /files/sideinfo2018.pdf
Human‑understandable explanations of infeasibility for resource‑constrained scheduling problems Permalink
Published in ICAPS XAIP Workshop, 2019
Recommended citation: N. Lauffer, U. Topcu. ICAPS XAIP Workshop 2019. /files/explain2019.pdf
Training classifiers for feedback control Permalink
Published in ACC, 2019
Recommended citation: H. Poonawala, N. Lauffer, U. Topcu. ACC 2019. /files/classsafety2019.pdf
Reachability Games for Optimal Multi-agent Scheduling of Tasks with Variable Durations Permalink
Published in COCOA, 2020
Recommended citation: D. Raju, N. Lauffer, U. Topcu. COCOA 2020. /files/reachabilitygames2020.pdf
Multiscale Heterogeneous Optimal Lockdown Control for COVID-19 Using Geographic Information Permalink
Published in Scientic Reports, 2022
Recommended citation: C. Neary, M. Cubuktepe, N. Lauffer, X. Jin, A. Phillips, Z. Xu, D. Tong, and U. Topcu. Scientific Reports 2022. /files/lockdown2022.pdf
Learning Deterministic Finite Automata Decompositions from Examples and Demonstrations Permalink
Published in FMCAD, 2022
Recommended citation: N. Lauffer*, B. Yalcinkaya*, M. Vazquez-Chanlatte, A Shah, and S. Seshia. FMCAD 2022. /files/dfa2022.pdf
No‑regret Learning in Dynamic Stackelberg Games Permalink
Published in arXiv, 2022
Recommended citation: N. Lauffer, M. Ghasemi, A. Hashemi, Y. Savas, and U. Topcu. arXiv preprint 2022. /files/stackelberg2022.pdf
Who Needs to Know? Minimal Knowledge for Optimal Coordination Permalink
Published in ICML, 2023
Recommended citation: N. Lauffer, A. Shah, M. Carroll, M. Dennis, and S. Russell. ICML 2023. /files/minknowledge2023.pdf
Automata Conditioned Reinforcement Learning with Experience Replay Permalink
Published in NeurIPS GCRL Workshop, 2023
Recommended citation: N. Lauffer*, B. Yalcinkaya*, M. Vazquez-Chanlatte, S. Seshia. NeurIPS 2024. https://openreview.net/pdf?id=ktyvmR8btd
Welfare Diplomacy: Benchmarking Language Model Cooperation
Published in arXiv, 2024
Recommended citation: G. Mukobi, H. Erlebach, N. Lauffer, L. Hammond, A. Chan, J. Clifton. arXiv 2024. https://arxiv.org/abs/2310.08901
Learning Task Decompositions for Multi‑agent Teams
Published in NeurIPS, 2024
Recommended citation: T. Chen*, N. Pitta*, A. Shah*, N. Lauffer*, S. Seshia. RSS Spec. 2024. /files/taskdecomp2024.pdf
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning Permalink
Published in NeurIPS, 2024
Recommended citation: B. Yalcinkaya*, N. Lauffer*, M. Vazquez-Chanlatte*, S. Seshia. NeurIPS 2024. https://arxiv.org/abs/2411.00205