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Samuel Allen Alexander
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2020 – today
- 2023
- [c10]Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter:
Universal Agent Mixtures and the Geometry of Intelligence. AISTATS 2023: 4231-4246 - [c9]Samuel Allen Alexander, Arthur Paul Pedersen:
Strengthening Consistency Results in Modal Logic. TARK 2023: 4-15 - [i8]Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter:
Universal Agent Mixtures and the Geometry of Intelligence. CoRR abs/2302.06083 (2023) - 2022
- [j3]Samuel Allen Alexander, Michael Castaneda, Kevin Compher, Oscar Martinez:
Extending Environments to Measure Self-reflection in Reinforcement Learning. J. Artif. Gen. Intell. 13(1): 1-24 (2022) - [c8]Samuel Allen Alexander:
Extended Subdomains: A Solution to a Problem of Hernández-Orallo and Dowe. AGI 2022: 147-157 - [c7]Samuel Allen Alexander, Arthur Paul Pedersen:
Pseudo-visibility: A Game Mechanic Involving Willful Ignorance. FLAIRS 2022 - [c6]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: 383-399 - 2021
- [c5]Samuel Allen Alexander, Marcus Hutter:
Reward-Punishment Symmetric Universal Intelligence. AGI 2021: 1-10 - [c4]Samuel Allen Alexander:
Can Reinforcement Learning Learn Itself? A Reply to 'Reward is Enough'. SEFM Workshops 2021: 117-133 - [i7]Samuel Allen Alexander, Marcus Hutter:
Reward-Punishment Symmetric Universal Intelligence. CoRR abs/2110.02450 (2021) - [i6]Samuel Allen Alexander, Michael Castaneda, Kevin Compher, Oscar Martinez:
Extending Environments To Measure Self-Reflection In Reinforcement Learning. CoRR abs/2110.06890 (2021) - [i5]Samuel Allen Alexander, Arthur Paul Pedersen:
Representation and Invariance in Reinforcement Learning. CoRR abs/2112.07752 (2021) - 2020
- [j2]Samuel Allen Alexander:
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI. J. Artif. Gen. Intell. 11(1): 70-85 (2020) - [c3]Samuel Allen Alexander:
AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration. AGI 2020: 1-11 - [c2]Samuel Allen Alexander:
Short-Circuiting the Definition of Mathematical Knowledge for an Artificial General Intelligence. SEFM 2020: 201-213 - [i4]Samuel Allen Alexander:
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI. CoRR abs/2002.10221 (2020) - [i3]Samuel Allen Alexander:
AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration. CoRR abs/2005.08801 (2020)
2010 – 2019
- 2019
- [j1]Samuel Allen Alexander:
Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents. J. Artif. Gen. Intell. 10(1): 24-45 (2019) - [c1]Samuel Allen Alexander:
Measuring the Intelligence of an Idealized Mechanical Knowing Agent. SEFM Workshops 2019: 163-179 - [i2]Samuel Allen Alexander:
Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents. CoRR abs/1910.09721 (2019) - [i1]Samuel Allen Alexander:
Measuring the intelligence of an idealized mechanical knowing agent. CoRR abs/1912.09571 (2019)
Coauthor Index
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