Niklas Lauffer

2 papers · 2023–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) ❓ The Questioner

Venues

ICML (1) NeurIPS (1)

Top co-authors

Michael D Dennis (1) Sanjit A. Seshia (1) Ameesh Shah (1) Beyazit Yalcinkaya (1) Marcell Vazquez-Chanlatte (1) Micah Carroll (1) Stuart Russell (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Reinforcement Learning (2) Core AI (2) Methods (2) Deep Learning (1) Applications (1) Architectures (1) Core Methods (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

reinforcement learning (1) transfer learning (1) hierarchical reinforcement learning (1) partial observability (1) zero-shot generalization (1) goal-conditioned reinforcement learning (1) cooperative game (1) goal-conditioned rl (1) automaton embedding (1) temporal logic (1) deterministic finite automaton (1) partially observable game (1) goal-conditioned learning (1) dynamic game (1) optimal coordination (1) strategic information (1) graph neural network (1) multi-agent system (1) finite automaton (1) strategically relevant information (1)

Papers

Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Who Needs to Know? Minimal Knowledge for Optimal Coordination ICML 2023