Ufuk Topcu

Zero-Shot Function Encoder-Based Differentiable Predictive Control L4DC 2026 Categorical Semantics of Compositional Reinforcement Learning JMLR 2025 CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features ICLR 2025 Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations L4DC 2025 Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces ICML 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 Safety-Prioritizing Curricula for Constrained Reinforcement Learning ICLR 2025 Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives AAAI 2025 Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations CoRL 2024 Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication IJCAI 2024 Zero-Shot Reinforcement Learning via Function Encoders ICML 2024 Zero-Shot Transfer of Neural ODEs NeurIPS 2024 Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks L4DC 2023 Differential Privacy in Cooperative Multiagent Planning UAI 2023 How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CoRL 2023 Learning Interpretable Temporal Properties from Positive Examples Only AAAI 2023 On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples AAAI 2023 Reward-machine-guided, self-paced reinforcement learning UAI 2023 Risk-aware curriculum generation for heavy-tailed task distributions UAI 2023 Safe Reinforcement Learning via Shielding under Partial Observability AAAI 2023 Task-aware Distributed Source Coding under Dynamic Bandwidth NeurIPS 2023 Class-Aware Adversarial Transformers for Medical Image Segmentation NeurIPS 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Faster non-convex federated learning via global and local momentum UAI 2022 Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022 Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling L4DC 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022 Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021 Algorithms for Fairness in Sequential Decision Making AISTATS 2021 Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021 No-regret learning with high-probability in adversarial Markov decision processes UAI 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Safe Policies for Factored Partially Observable Stochastic Games RSS 2021 Smooth Convex Optimization Using Sub-Zeroth-Order Oracles AAAI 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021 Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications RSS 2020 Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020 Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics ICML 2020 Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020 Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks IJCAI 2019 Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes IJCAI 2019 Submodular Observation Selection and Information Gathering for Quadratic Models ICML 2019 Transfer of Temporal Logic Formulas in Reinforcement Learning IJCAI 2019 Constrained Cross-Entropy Method for Safe Reinforcement Learning NeurIPS 2018 Learning from Demonstrations with High-Level Side Information IJCAI 2017 Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017 Probably Approximately Correct Learning in Stochastic Games with Temporal Logic Specifications IJCAI 2016 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Optimal Control with Weighted Average Costs and Temporal Logic Specifications RSS 2012