Ufuk Topcu
Associate Professor Cockrell Family Dean's Chair for Engineering Excellence
Designs and verifies autonomous systems, combining formal methods, control and learning for safe decision-making.
Ufuk Topcu's lab at UT Austin works on autonomous vehicles & drones, planning, control & multi-robot systems and reinforcement learning. 125 papers since 2023, 51 at top venues, mostly ACC and CDC. 16 PhD students and 1 master's student. 24 alumni. Applications close .
At a glance
- papers, 2023–2026
- 33/ year
- at T1 venues
- 41%
- PhD students
- 16
- MS students
- 1
- alumni listed
- 24
Papers by yearfrom DBLP, 2023–2026
- 16 papers2026 · T1 5 · collecting
- 37 papers2025 · T1 15
- 28 papers2024 · T1 13
- 44 papers2023 · T1 18
T1 venuesOtherVenues: ACC, CDC, TAC, AAMAS, NeurIPS
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems41 papers
- Reinforcement learning29 papers
- Autonomous vehicles & drones8 papers
- mechanics0 papers
- aerospace engineering0 papers
Paper list
From DBLP.
202616 papers
- Trans. Mach. Learn. Res.A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation (opens in a new tab)
- IEEE Control. Syst. Lett.Chance-Constrained Correlated Equilibria for Robust Noncooperative Coordination (opens in a new tab)
- ACCCoordinated UAV Beamforming and Control for Directional Jamming and Nulling (opens in a new tab)
- Autom.Corrigendum to 'On the Detection of Markov Decision Processes' [Automatica 175 (2025) 112196] (opens in a new tab)
- ACCDeceptive Planning Exploiting Inattention Blindness (opens in a new tab)
- ACCDesigning Inferable Signaling Schemes for Bayesian Persuasion (opens in a new tab)
- AAMAS (T1)Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game (opens in a new tab)
- ACCDynamic Coalitions in Games on Graphs with Preferences over Temporal Goals (opens in a new tab)
- J. Comput. Phys.Formal Verification of Digital Twins with the Temporal Logic of Actions (opens in a new tab)
- AAMAS (T1)IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information (opens in a new tab)
- ICRA (T1)LAD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback (opens in a new tab)
- IEEE Control. Syst. Lett.Linear-Quadratic Gaussian Games With Distributed Sparse Estimation (opens in a new tab)
202537 papers
- IEEE Robotics Autom. Mag.A Road Map for Responsible Robotics: Promoting Human Agency and Collaborative Efforts (opens in a new tab)
- ACCActive Inverse Learning in Stackelberg Trajectory Games (opens in a new tab)
- ACCAI Engineering for Safety-Critical Control Systems: An Aerospace Perspective (opens in a new tab)
- NeuSAutomaton-Based Representations of Task Knowledge from Generative Language Models (opens in a new tab)
- JMLR (T1)Categorical Semantics of Compositional Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles (opens in a new tab)
- ICLR (T1)CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features (opens in a new tab)
- L4DCDense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations (opens in a new tab)
- Auton. Agents Multi Agent Syst.Designing policies for transition-independent multiagent systems that are robust to communication loss (opens in a new tab)
- AAMAS (T1)Dynamic Coalition Structure Detection in Natural-Language-based Interactions (opens in a new tab)
- ICML (T1)Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces (opens in a new tab)
- AAMAS (T1)Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent (opens in a new tab)
202428 papers
- GameSecA Decentralized Shotgun Approach for Team Deception (opens in a new tab)
- ICRA (T1)A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning (opens in a new tab)
- CoRL (T1)Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations (opens in a new tab)
- CDCActive Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process (opens in a new tab)
- ACCAlpha-Fair Routing in Urban Air Mobility with Risk-Aware Constraints (opens in a new tab)
- ACCControl of Misinformation with Safety and Engagement Guarantees (opens in a new tab)
- IEEE Control. Syst. Lett.Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria (opens in a new tab)
- ACCDeceptive Planning for Resource Allocation (opens in a new tab)
- MILCOMDefining and Measuring Deception in Sequential Decision Systems: Application to Network Defense (opens in a new tab)
- ACCEncouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations (opens in a new tab)
- MLSys (T1)Fine-Tuning Language Models Using Formal Methods Feedback: A Use Case in Autonomous Systems (opens in a new tab)
- IEEE Trans. Intell. Veh.Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing (opens in a new tab)
202344 papers
- CDCAutomatic Decomposition of Reward Machines for Decentralized Multiagent Reinforcement Learning (opens in a new tab)
- ICRA (T1)Autonomous Drifting with 3 Minutes of Data via Learned Tire Models (opens in a new tab)
- L4DCCompositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks (opens in a new tab)
- IEEE AccessController Synthesis for Multi-Agent Systems With Intermittent Communication and Metric Temporal Logic Specifications (opens in a new tab)
- ACCCost Design in Atomic Routing Games (opens in a new tab)
- CDCDecentralized Conflict Resolution for Multi-Agent Reinforcement Learning Through Shared Scheduling Protocols (opens in a new tab)
- CDCDifferential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism (opens in a new tab)
- UAI (T1)Differential Privacy in Cooperative Multiagent Planning (opens in a new tab)
- ACCDifferentially Private Timeseries Forecasts for Networked Control (opens in a new tab)
- Commun. ACMDynamic Certification for Autonomous Systems (opens in a new tab)
- CAVEfficient Sensitivity Analysis for Parametric Robust Markov Chains (opens in a new tab)
- TAC (T1)Efficient Strategy Synthesis for MDPs With Resource Constraints (opens in a new tab)
Where alumni went24 listed
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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