10 citations · 12 across the 14 of their papers we have counts for
6 papers · 1 filter
Observation Interference in Partially Observable Assistance Games
Scott Emmons, Caspar Oesterheld, Vincent Conitzer +1
We study partially observable assistance games (POAGs), a model of the human-AI value alignment problem which allows the human and the AI assistant to have partial observations. Mo…
Can CDT rationalise the ex ante optimal policy via modified anthropics?
Emery Cooper, Caspar Oesterheld, Vincent Conitzer
In Newcomb's problem, causal decision theory (CDT) recommends two-boxing and thus comes apart from evidential decision theory (EDT) and ex ante policy optimisation (which prescribe…
A dataset of questions on decision-theoretic reasoning in Newcomb-like problems
Caspar Oesterheld, Emery Cooper, Miles Kodama +2
We introduce a dataset of natural-language questions in the decision theory of so-called Newcomb-like problems. Newcomb-like problems include, for instance, decision problems in wh…
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld +4
We investigate optimal decision making under imperfect recall, that is, when an agent forgets information it once held before. An example is the absentminded driver game, as well a…
Recursive Joint Simulation in Games
Vojtech Kovarik, Caspar Oesterheld, Vincent Conitzer
Game-theoretic dynamics between AI agents could differ from traditional human-human interactions in various ways. One such difference is that it may be possible to accurately simul…
Computing Optimal Commitments to Strategies and Outcome-Conditional Utility Transfers
Nathaniel Sauerberg, Caspar Oesterheld
Prior work has studied the computational complexity of computing optimal strategies to commit to in Stackelberg or leadership games, where a leader commits to a strategy which is o…