Caspar Oesterheld

According to our database, Caspar Oesterheld authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recursive Joint Simulation in Games.

Vojtech Kovarík, Caspar Oesterheld, Vincent Conitzer

CoRR, 2024

Computing Optimal Commitments to Strategies and Outcome-Conditional Utility Transfers.

Nathaniel Sauerberg, Caspar Oesterheld

CoRR, 2024

2023

A Theory of Bounded Inductive Rationality.

Caspar Oesterheld, Abram Demski, Vincent Conitzer

Proceedings of the Proceedings Nineteenth conference on Theoretical Aspects of Rationality and Knowledge, 2023

Incentivizing honest performative predictions with proper scoring rules.

Caspar Oesterheld, Johannes Treutlein, Emery Cooper, Rubi Hudson

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Similarity-based cooperative equilibrium.

Caspar Oesterheld, Johannes Treutlein, Roger B. Grosse, Vincent Conitzer, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Computational Complexity of Single-Player Imperfect-Recall Games.

Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer, Paul W. Goldberg

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Game Theory with Simulation of Other Players.

Vojtech Kovarík, Caspar Oesterheld, Vincent Conitzer

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Foundations of Cooperative AI.

Vincent Conitzer, Caspar Oesterheld

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Similarity-based Cooperation.

Caspar Oesterheld, Johannes Treutlein, Roger B. Grosse, Vincent Conitzer, Jakob N. Foerster

CoRR, 2022

A Note on the Compatibility of Different Robust Program Equilibria of the Prisoner's Dilemma.

Caspar Oesterheld

CoRR, 2022

Safe Pareto improvements for delegated game playing.

Caspar Oesterheld, Vincent Conitzer

Auton. Agents Multi Agent Syst., 2022

For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria.

Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell

Proceedings of the International Conference on Machine Learning, 2022

2021

Approval-directed agency and the decision theory of Newcomb-like problems.

Caspar Oesterheld

Synth., 2021

Reinforcement Learning in Newcomblike Environments.

James Bell, Linda Linsefors, Caspar Oesterheld, Joar Skalse

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A New Formalism, Method and Open Issues for Zero-Shot Coordination.

Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Decision Scoring Rules.

Caspar Oesterheld, Vincent Conitzer

Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Minimum-Regret Contracts for Principal-Expert Problems.

Caspar Oesterheld, Vincent Conitzer

Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Extracting Money from Causal Decision Theorists.

Caspar Oesterheld, Vincent Conitzer

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

2016

Formalizing preference utilitarianism in physical world models.

Caspar Oesterheld

Synth., 2016