180 citations
- Massachusetts Institute of TechnologyUS38 papers
- University of BonnDE37 papers
- University of OxfordGB36 papers
- Centre National de la Recherche ScientifiqueFR35 papers
- Centro Brasileiro de Pesquisas FísicasBR35 papers
- École Polytechnique Fédérale de LausanneCH35 papers
- Lamarr Institute for Machine Learning and Artificial Intelligence35 papers
- Ruhr University BochumDE35 papers
- Sorbonne UniversitéFR35 papers
- University of BolognaIT35 papers
- University of CambridgeGB35 papers
- University of SienaIT35 papers
Showing 2017Show all
3 papers · 1 filter
cs.AI2017★ 31 cited
Occam's razor is insufficient to infer the preferences of irrational agents
Stuart Armstrong, Sören Mindermann
Inverse reinforcement learning (IRL) attempts to infer human rewards or preferences from observed behavior. Since human planning systematically deviates from rationality, several a…
cs.LO2017★ 7 cited
A Formal Approach to the Problem of Logical Non-Omniscience
Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch +2
We present the logical induction criterion for computable algorithms that assign probabilities to every logical statement in a given formal language, and refine those probabilities…
cs.AI2017★ 6 cited
Toward negotiable reinforcement learning: shifting priorities in Pareto optimal sequential decision-making
Andrew Critch
Existing multi-objective reinforcement learning (MORL) algorithms do not account for objectives that arise from players with differing beliefs. Concretely, consider two players wit…