Nils Jansen
21 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(6)
🌈
Renaissance Researcher
(6)
🤝
Dynamic Duo
(10)
🔬
Deep Specialist
(10)
🏆
Keyword Champion
(2)
💎
Century Club
(21)
⚡
Prolific Year
(7)
🔥
Unstoppable
(7)
🗃️
Keyword Collector
(81)
Conferences
IJCAI (8)
AAAI (7)
ICLR (3)
NIPS (1)
RSS (1)
UAI (1)
Top co-authors
Keywords
partially observable markov decision process
(6)
formal verification
(4)
markov decision process
(3)
robust optimization
(3)
partial observability
(3)
uncertain pomdp
(2)
safe policy improvement
(2)
offline reinforcement learning
(2)
epistemic uncertainty
(2)
temporal logic
(2)
interval markov decision process
(2)
probabilistic guarantee
(2)
policy learning
(2)
finite-state controller
(2)
robust control
(2)
multi-agent planning
(2)
recurrent neural network
(2)
robust policy
(2)
formal methods
(1)
convex optimization
(1)
Papers
Robust Transfer of Safety-Constrained Reinforcement Learning Agents
ICLR 2025
Safety-Prioritizing Curricula for Constrained Reinforcement Learning
ICLR 2025
Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs
IJCAI 2025
Robust Active Measuring under Model Uncertainty
AAAI 2024
Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs
IJCAI 2024
Approximate Dec-POMDP Solving Using Multi-Agent A*
IJCAI 2024
Factored Online Planning in Many-Agent POMDPs
AAAI 2024
Risk-aware curriculum generation for heavy-tailed task distributions
UAI 2023
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
AAAI 2023
Safe Reinforcement Learning via Shielding under Partial Observability
AAAI 2023
Safe Policy Improvement for POMDPs via Finite-State Controllers
AAAI 2023
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
ICLR 2023
More for Less: Safe Policy Improvement with Stronger Performance Guarantees
IJCAI 2023
Recursive Small-Step Multi-Agent A* for Dec-POMDPs
IJCAI 2023
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
AAAI 2022
Robust Anytime Learning of Markov Decision Processes
NIPS 2022
Safe Policies for Factored Partially Observable Stochastic Games
RSS 2021
Robust Finite-State Controllers for Uncertain POMDPs
AAAI 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