Jansen, Nils

25 publications

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

NeurIPS 2025 On Evaluating Policies for Robust POMDPs Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot, Thiago D. Simão, Nils Jansen

IJCAI 2025 Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs Maris F. L. Galesloot, Roman Andriushchenko, Milan Ceska, Sebastian Junges, Nils Jansen

ICLR 2025 Robust Transfer of Safety-Constrained Reinforcement Learning Agents Markel Zubia, Thiago D. Simão, Nils Jansen

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

IJCAI 2024 Approximate Dec-POMDP Solving Using Multi-Agent A* Wietze Koops, Sebastian Junges, Nils Jansen

AAAI 2024 Factored Online Planning in Many-Agent POMDPs Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen

IJCAI 2024 Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs Eline M. Bovy, Marnix Suilen, Sebastian Junges, Nils Jansen

AAAI 2024 Robust Active Measuring Under Model Uncertainty Merlijn Krale, Thiago D. Simão, Jana Tumova, Nils Jansen

IJCAI 2023 More for Less: Safe Policy Improvement with Stronger Performance Guarantees Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen

AAAI 2023 Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty Thom Badings, Licio Romao, Alessandro Abate, Nils Jansen

IJCAI 2023 Recursive Small-Step Multi-Agent A* for Dec-POMDPs Wietze Koops, Nils Jansen, Sebastian Junges, Thiago D. Simão

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

JAIR 2023 Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions Thom Badings, Licio Romao, Alessandro Abate, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga, Nils Jansen

AAAI 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers Thiago D. Simão, Marnix Suilen, Nils Jansen

ICLR 2023 Safe Reinforcement Learning from Pixels Using a Stochastic Latent Representation Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen

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

NeurIPS 2022 Robust Anytime Learning of Markov Decision Processes Marnix Suilen, Thiago D. Simão, David B. Parker, Nils Jansen

AAAI 2022 Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga

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

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

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

UAI 2018 Finite-State Controllers of POMDPs Using Parameter Synthesis Sebastian Junges, Nils Jansen, Ralf Wimmer, Tim Quatmann, Leonore Winterer, Joost-Pieter Katoen, Bernd Becker