Samuel Allen Alexander

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Topics

Mathematical Knowledge

Reinforcement Learning

Artificial General Intelligence

Top Venues

J. Artif. Gen. Intell.

Publications

Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter
Universal Agent Mixtures and the Geometry of Intelligence. CoRR (2023)
Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter
Universal Agent Mixtures and the Geometry of Intelligence. AISTATS (2023)
Samuel Allen Alexander, Arthur Paul Pedersen
Strengthening Consistency Results in Modal Logic. TARK (2023)
Samuel Allen Alexander
Extended Subdomains: A Solution to a Problem of Hernández-Orallo and Dowe. AGI (2022)
Alessandro Aldini, Samuel Allen Alexander, Pierluigi Graziani
Knowledge-of-Own-Factivity, the Definition of Surprise, and a Solution to the Surprise Examination Paradox. SEFM Workshops (2022)
Samuel Allen Alexander, Michael Castaneda, Kevin Compher, Oscar Martinez
Extending Environments to Measure Self-reflection in Reinforcement Learning. J. Artif. Gen. Intell. 13 (1) (2022)
Samuel Allen Alexander
Can Reinforcement Learning Learn Itself? A Reply to 'Reward is Enough'. SEFM Workshops (2021)
Samuel Allen Alexander, Michael Castaneda, Kevin Compher, Oscar Martinez
Extending Environments To Measure Self-Reflection In Reinforcement Learning. CoRR (2021)
Samuel Allen Alexander, Marcus Hutter
Reward-Punishment Symmetric Universal Intelligence. AGI (2021)
Samuel Allen Alexander, Marcus Hutter
Reward-Punishment Symmetric Universal Intelligence. CoRR (2021)
Samuel Allen Alexander
AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration. AGI (2020)
Samuel Allen Alexander
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI. CoRR (2020)
Samuel Allen Alexander
Short-Circuiting the Definition of Mathematical Knowledge for an Artificial General Intelligence. SEFM (2020)
Samuel Allen Alexander
AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration. CoRR (2020)
Samuel Allen Alexander
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI. J. Artif. Gen. Intell. 11 (1) (2020)
Samuel Allen Alexander
Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents. CoRR (2019)
Samuel Allen Alexander
Measuring the Intelligence of an Idealized Mechanical Knowing Agent. SEFM Workshops (2019)
Samuel Allen Alexander
Measuring the intelligence of an idealized mechanical knowing agent. CoRR (2019)
Samuel Allen Alexander
Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents. J. Artif. Gen. Intell. 10 (1) (2019)