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Infra-Bayesianism

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Infra-Bayesianism
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Contributors
2Abram Demski
2Ruben Bloom
2Yoav Ravid
1SamDeere

Infra-Bayesianism is a new approach to epistemology / decision theory / reinforcement learning theory, which builds on "imprecise probability" to solve the problem of prior misspecification / grain-of-truth / nonrealizability which plagues Bayesianism and Bayesian reinforcement learning.

Infra-Bayesianism also naturally leads to an implementation of UDT, and (more speculatively at this stage) has applications to multi-agent theory, embedded agency and reflection.

See the Infra-Bayesianism Sequence.

Posts tagged Infra-Bayesianism
Most Relevant
6
29Infra-Bayesian physicalism: a formal theory of naturalized induction
Vanessa Kosoy
7mo
3
5
37Introduction To The Infra-Bayesianism Sequence
Diffractor
2y
48
3
16AXRP Episode 5 - Infra-Bayesianism with Vanessa Kosoy
DanielFilan
1y
2
3
20Basic Inframeasure Theory
Diffractor
2y
11
3
7Belief Functions And Decision Theory
Diffractor
2y
8
2
13Inframeasures and Domain Theory
Diffractor
1y
2
1
58My take on Vanessa Kosoy's take on AGI safety
Steve Byrnes
9mo
8
1
21Infra-Bayesianism Unwrapped
Adam Shimi
1y
0
1
16The Many Faces of Infra-Beliefs
Diffractor
1y
5
1
14AXRP Episode 14 - Infra-Bayesian Physicalism with Vanessa Kosoy
DanielFilan
3mo
9
1
11Less Basic Inframeasure Theory
Diffractor
2y
1
1
7Infra-Miscellanea
Diffractor
2mo
0
2
4Proofs Section 2.1 (Theorem 1, Lemmas)
Diffractor
2y
0
2
4Proofs Section 1.2 (Mixtures, Updates, Pushforwards)
Diffractor
2y
0
2
4Proofs Section 2.2 (Isomorphism to Expectations)
Diffractor
2y
0
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