Nils Jansen

21 papers · 2019–2025 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🔬 Deep Specialist (10) 🤝 Dynamic Duo (10) 🏆 Keyword Champion (2) 📈 Trend Setter ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 🗃️ Keyword Collector (91) 💎 Century Club · Bronze

Venues

IJCAI (8) AAAI (7) ICLR (3) NeurIPS (1) RSS (1) UAI (1)

Top co-authors

Thiago D. Simão (10) Ufuk Topcu (8) Sebastian Junges (7) Marnix Suilen (6) Steven Carr (4) Cevahir Koprulu (2) Maris F. L. Galesloot (2) Murat Cubuktepe (2) Wietze Koops (2) Alessandro Abate (2)

Research topics

Artificial Intelligence (19) Core AI (19) Reinforcement Learning (14) Methods (14) Machine Learning (12) Optimization & Theory (9) Learning Types · Machine Learning (5) Mathematics & Optimization (4) Optimization (4) Deep Learning (2) Robotics (2) Learning Types · Deep Learning (2) Application Areas (1) Applications · Reinforcement Learning (1) Applications · Robotics (1)

Keywords

partially observable markov decision process (7) formal verification (4) safe reinforcement learning (3) robust optimization (3) markov decision process (3) partial observability (3) safe policy improvement (2) robust policy (2) finite-state controller (2) safety constraint (2) offline reinforcement learning (2) epistemic uncertainty (2) interval markov decision process (2) probabilistic guarantee (2) temporal logic (2) multi-agent planning (2) policy learning (2) recurrent neural network (2) robust control (2) uncertain pomdp (2)

Papers

Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs IJCAI 2025 Robust Transfer of Safety-Constrained Reinforcement Learning Agents ICLR 2025 Safety-Prioritizing Curricula for Constrained Reinforcement Learning ICLR 2025 Approximate Dec-POMDP Solving Using Multi-Agent A* IJCAI 2024 Factored Online Planning in Many-Agent POMDPs AAAI 2024 Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs IJCAI 2024 Robust Active Measuring under Model Uncertainty AAAI 2024 More for Less: Safe Policy Improvement with Stronger Performance Guarantees IJCAI 2023 Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023 Recursive Small-Step Multi-Agent A* for Dec-POMDPs IJCAI 2023 Risk-aware curriculum generation for heavy-tailed task distributions UAI 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation ICLR 2023 Safe Reinforcement Learning via Shielding under Partial Observability AAAI 2023 Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise AAAI 2022 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Safe Policies for Factored Partially Observable Stochastic Games RSS 2021 Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 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