Topcu, Ufuk

56 publications

TMLR 2026 A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation Xinjie Liu, Cyrus Neary, Kushagra Gupta, Wesley A. Suttle, Christian Ellis, Ufuk Topcu, David Fridovich-Keil

ICLR 2025 CSA: Data-Efficient Mapping of Unimodal Features to Multimodal Features Po-han Li, Sandeep P. Chinchali, Ufuk Topcu

JMLR 2025 Categorical Semantics of Compositional Reinforcement Learning Georgios Bakirtzis, Michail Savvas, Ufuk Topcu

NeurIPS 2025 Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles Kushagra Gupta, Surya Murthy, Mustafa O. Karabag, Ufuk Topcu, David Fridovich-Keil

L4DC 2025 Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations Cevahir Koprulu, Po-Han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu

ICML 2025 Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces Tyler Ingebrand, Adam Thorpe, Ufuk Topcu

NeurIPS 2025 Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability Eline M. Bovy, Caleb Probine, Marnix Suilen, Ufuk Topcu, Nils Jansen

ICLR 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL Cevahir Koprulu, Franck Djeumou, Ufuk Topcu

TMLR 2025 Real-Time Privacy Preservation for Robot Visual Perception Minkyu Choi, Yunhao Yang, Neel P. Bhatt, Kushagra Gupta, Sahil Shah, Aditya Rai, David Fridovich-Keil, Ufuk Topcu, Sandeep P. Chinchali

ICLR 2025 Safety-Prioritizing Curricula for Constrained Reinforcement Learning Cevahir Koprulu, Thiago D. Simão, Nils Jansen, Ufuk Topcu

AAAI 2025 Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives Abhishek Ninad Kulkarni, Jie Fu, Ufuk Topcu

NeurIPS 2025 VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR Shenghui Chen, Po-han Li, Sandeep P. Chinchali, Ufuk Topcu

CoRL 2024 Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations Ruihan Zhao, Ufuk Topcu, Sandeep P. Chinchali, Mariano Phielipp

IJCAI 2024 Human-Agent Cooperation in Games Under Incomplete Information Through Natural Language Communication Shenghui Chen, Daniel Fried, Ufuk Topcu

NeurIPSW 2024 OnThePlanning Abilities of OpenAI’s O1 Models: Feasibility, Optimality, and Generalizability Kevin Wang, Junbo Li, Neel P. Bhatt, Yihan Xi, Qiang Liu, Ufuk Topcu, Zhangyang Wang

ICML 2024 Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand, Amy Zhang, Ufuk Topcu

NeurIPS 2024 Zero-Shot Transfer of Neural ODEs Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu

L4DC 2023 Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks Cyrus Neary, Ufuk Topcu

UAI 2023 Differential Privacy in Cooperative Multiagent Planning Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew Hale, Ufuk Topcu

CoRL 2023 How to Learn and Generalize from Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou, Cyrus Neary, Ufuk Topcu

AAAI 2023 Learning Interpretable Temporal Properties from Positive Examples Only Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu

NeurIPSW 2023 Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception Yunhao Yang, Cyrus Neary, Ufuk Topcu

AAAI 2023 On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples Mustafa O. Karabag, Ufuk Topcu

UAI 2023 Reward-Machine-Guided, Self-Paced Reinforcement Learning Cevahir Koprulu, Ufuk Topcu

UAI 2023 Risk-Aware Curriculum Generation for Heavy-Tailed Task Distributions Cevahir Koprulu, Thiago D. Simão, Nils Jansen, Ufuk Topcu

AAAI 2023 Safe Reinforcement Learning via Shielding Under Partial Observability Steven Carr, Nils Jansen, Sebastian Junges, Ufuk Topcu

NeurIPS 2023 Task-Aware Distributed Source Coding Under Dynamic Bandwidth Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim

ICMLW 2023 Task-Aware Distributed Source Coding Under Dynamic Bandwidth Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Ufuk Topcu, Sandeep P. Chinchali, Hyeji Kim

AISTATS 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

NeurIPS 2022 Class-Aware Adversarial Transformers for Medical Image Segmentation Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, James Duncan

AAAI 2022 Deceptive Decision-Making Under Uncertainty Yagiz Savas, Christos K. Verginis, Ufuk Topcu

UAI 2022 Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

L4DC 2022 Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information Franck Djeumou, Ufuk Topcu

L4DC 2022 Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu

IJCAI 2022 Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu

AISTATS 2021 Algorithms for Fairness in Sequential Decision Making Min Wen, Osbert Bastani, Ufuk Topcu

AAAI 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-Based Learners Zhe Xu, Yuxin Chen, Ufuk Topcu

AAAI 2021 Advice-Guided Reinforcement Learning in a Non-Markovian Environment Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu

JMLR 2021 Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation Melkior Ornik, Ufuk Topcu

UAI 2021 No-Regret Learning with High-Probability in Adversarial Markov Decision Processes Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu

AAAI 2021 Robust Finite-State Controllers for Uncertain POMDPs Murat Cubuktepe, Nils Jansen, Sebastian Junges, Ahmadreza Marandi, Marnix Suilen, Ufuk Topcu

AAAI 2021 Smooth Convex Optimization Using Sub-Zeroth-Order Oracles Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu

JAIR 2021 Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes Steven Carr, Nils Jansen, Ufuk Topcu

AAAI 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone

IJCAI 2020 Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization Marnix Suilen, Nils Jansen, Murat Cubuktepe, Ufuk Topcu

ICML 2020 Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu

IJCAI 2020 Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints Steven Carr, Nils Jansen, Ufuk Topcu

IJCAI 2019 Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks Steven Carr, Nils Jansen, Ralf Wimmer, Alexandru Constantin Serban, Bernd Becker, Ufuk Topcu

IJCAI 2019 Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes Mahsa Ghasemi, Ufuk Topcu

ICML 2019 Submodular Observation Selection and Information Gathering for Quadratic Models Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu

IJCAI 2019 Transfer of Temporal Logic Formulas in Reinforcement Learning Zhe Xu, Ufuk Topcu

NeurIPS 2018 Constrained Cross-Entropy Method for Safe Reinforcement Learning Min Wen, Ufuk Topcu

AAAI 2018 Safe Reinforcement Learning via Shielding Mohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu

IJCAI 2017 Learning from Demonstrations with High-Level Side Information Min Wen, Ivan Papusha, Ufuk Topcu

IJCAI 2017 Reduction Techniques for Model Checking and Learning in MDPs Suda Bharadwaj, Stéphane Le Roux, Guillermo A. Pérez, Ufuk Topcu

IJCAI 2016 Probably Approximately Correct Learning in Stochastic Games with Temporal Logic Specifications Min Wen, Ufuk Topcu