Niklas Lauffer

15 papers A* 2A 1B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections.
CoRR
Niklas Lauffer, Xiang Deng, Srivatsa Kundurthy, Brad Kenstler, Jeff Da
2025 A conf
Learning Symbolic Task Decompositions for Multi-Agent Teams.
AAMAS
Ameesh Shah, Niklas Lauffer, Thomas Chen, Nikhil Pitta, Sanjit A. Seshia
2025 J jnl
Learning Symbolic Task Decompositions for Multi-Agent Teams.
CoRR
Ameesh Shah, Niklas Lauffer, Thomas Chen, Nikhil Pitta, Sanjit A. Seshia
2025 J jnl
Multi-Agent Risks from Advanced AI.
CoRR
Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
2025 — conf
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning.
NeuS
Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia
2025 J jnl
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning.
CoRR
Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia
2025 J jnl
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient.
CoRR
Niklas Lauffer, Ameesh Shah, Micah Carroll, Sanjit A. Seshia, Stuart Russell, Michael Dennis
2025 J jnl
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
CoRR
Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Nitin Pasari, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa Kundurthy, Sean Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler
2024 A* conf
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning.
NeurIPS
Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia
2024 J jnl
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning.
CoRR
Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia
2023 J jnl
Welfare Diplomacy: Benchmarking Language Model Cooperation.
CoRR
Gabriel Mukobi, Hannah Erlebach, Niklas Lauffer, Lewis Hammond, Alan Chan, Jesse Clifton
2023 A* conf
Who Needs to Know? Minimal Knowledge for Optimal Coordination.
ICML
Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell
2023 J jnl
Who Needs to Know? Minimal Knowledge for Optimal Coordination.
CoRR
Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael Dennis, Stuart Russell
2022 B conf
Learning Deterministic Finite Automata Decompositions from Examples and Demonstrations.
FMCAD
Niklas Lauffer, Beyazit Yalcinkaya, Marcell Vazquez-Chanlatte, Ameesh Shah, Sanjit A. Seshia
2022 J jnl
Learning Deterministic Finite Automata Decompositions from Examples and Demonstrations.
CoRR
Niklas Lauffer, Beyazit Yalcinkaya, Marcell Vazquez-Chanlatte, Ameesh Shah, Sanjit A. Seshia