Universal Algorithmic Intelligence
Community hub for researchers interested in Solomonoff Induction, AIXI, etc.
recent posts
Author
Cole Wyeth (colewyeth@gmail.com)
Category: Uncategorized
-
Marta Kryven will present on approximate Bayesian inference for problem-solving domains at the UAI research meeting tomorrow, Monday February 23rd at 3 pm EST. We will use the regular zoom link. Abstract: Bayesian Inference and Optimal Experiment Design provide a general case optimal theoretical framework for how to build world models and interpret evidence. However,…
-
Logistics We’re starting a reading group on universal search. See here for a list of readings we’re planning to go through. The reading group will meet weekly on Mondays starting on March 9th. The normal start time will be 1 PM EST, but for the first session on March 9th we’ll start at 12 PM…
-
Elija Perrier will discuss his work on quantum mechanical versions of the AIXI agent: https://arxiv.org/abs/2505.21170 The (extra) talk will be tomorrow, Monday Feb 16th at 3 pm EST over the usual zoom link. Bio Elija is a doctoral candidate at the Centre for Quantum Software and Information at the University of Technology Sydney. Elija’s doctoral…
-
Dr. Marc Finzi will discuss his work on computationally bounded information theory (“epiplexity”) at this week’s regular research meeting, Monday February 9th at 3 pm ET (at the regular zoom link). Details below. Bio:Marc Finzi is a Research Scientist at OpenAI. He received his Ph.D. in Computer Science from New York University for work on…
-
Marcus Hutter will answer any lingering questions on “An Introduction to Universal Artificial Intelligence” at the final meeting of the reading group on Monday, Jan 26th at 12 pm EST = 5 pm GMT. The zoom link is (as usual): https://uwaterloo.zoom.us/j/7921763961?pwd=TDatET6CBu47o4TxyNn9ccL2Ia8HN4.1 Note that the Australasian reading group is several chapters behind and still running.
-
Zhengmian Hu is a researcher at Adobe Research. He received his Ph.D. from the University of Maryland, College Park, and has published across topics including watermarking, deep learning theory, and optimization theory, with an emphasis on theoretical foundations for machine learning. At our next research meeting (3 pm ET on Monday, January 26), he will…
-
The reading group returns on Monday the 12th from a holiday break with a visit from David Quarel, who will answer questions on Chapter 15. With a focus on AI safety, this chapter is mostly less technical, so feel free to jump in here even if you missed some (or all) previous chapters. David has…
-
This is a linkpost for https://arxiv.org/abs/2512.17086 This updated version of my (Cole Wyeth’s) AGI 2025 paper with Marcus Hutter, “Value under ignorance in universal artificial intelligence,” studies general utility functions for AIXI. Surprisingly, the (hyper)computability properties have connections to imprecise probability theory! AIXI uses a defective Bayesian mixture called a semimeasure, which is often viewed…
-
As the first IUAI reading group draws to a close (in a few weeks), we are happy to share that a second round has already started (on Australian/Asian time) thanks to Sigfrido D. Ciletti! Description: Algorithmic Information Theory (Australasia) reading group. Meeting every week, Tuesday at 12pm AEDT (GMT+11:00) [open invitation]. This is also fairly…
-
Alexander Meulemans and Rajai Nasser will discuss their work with Google’s Paradigms of Intelligence Team on eMbedded Universal Predictive Intelligence (MUPI): https://www.arxiv.org/abs/2511.22226 Abstract: The standard theory of model-free reinforcement learning assumes that the environment dynamics are stationary and that agents are decoupled from their environment, such that policies are treated as being separate from the world they…
Universal Algorithmic Intelligence 