10 citations · 11 across the 11 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…
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
Yixuan Even Xu, Hanrui Zhang, Yu Cheng +1
Quantitative Relative Judgment Aggregation (QRJA) is a new research topic in (computational) social choice. In the QRJA model, agents provide judgments on the relative quality of d…
Game Theory with Simulation in the Presence of Unpredictable Randomisation
Vojtech Kovarik, Nathaniel Sauerberg, Lewis Hammond +1
AI agents will be predictable in certain ways that traditional agents are not. Where and how can we leverage this predictability in order to improve social welfare? We study this q…
Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice
Eric Horvitz, Vincent Conitzer, Sheila McIlraith +1
Advances in artificial intelligence (AI) will transform many aspects of our lives and society, bringing immense opportunities but also posing significant risks and challenges. The…
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…