Max Wolf's Second Brain
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Explorer
general
activation space
actor critic
advantage
agency
agent
aleatoric uncertainty
algebra
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
artificial neural network
astrocyte
attention (general)
attention (ML)
Automating the Search for Artificial Life with Foundation Models
batch normalization
Bayes Theorem
bayesian neural network
beauty
bernoulli
bias
bias-variance tradeoff
bijective
binomial coefficient
binomial distribution
bootstrapping
borel set
bourgeois
bourgeois democracy
cartesian product
categories
causal attention
cellular automata
central moment
chain rule of probability
closure
cma-es
column space
combinatorics
computational irreducibility
conditional probability
congruence
congruence class
consciousness
Consciousness as a coherence-inducing operator - Cosciousness is virtual
continuous
correlation matrix
coset
cosine similarity
covariance
credit assignment
critical state
cross product
cross-attention
cross-entropy
cross-entropy loss
cumulative distribution function
curiosity
Curiosity-driven Exploration by Self-supervised Prediction
curse of dimensionality
cycle-consistency
cyclic group
determinant
diagonal matrix
differentiability
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model
dot product
DQN
Dream To Control - Learning Behaviours By Latent Imagination
DropConnect
dropout
echo state network
eigendecomposition
eigenspace
eigenvalue
eligibility trace
Embracing curiosity eliminates the exploration-exploitation dilemma
Encoding innate ability through a genomic bottleneck
EngramNCA - A Neural Cellular Automaton Model of Memory Transfer
ensembles
epistemic
epistemic uncertainty
epsilon greedy
equivariance
ES-HyperNEAT
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
evolutionary optimization
expected value
exponential distribution
extended euclidian algorithm
factor group
factorial
factorization
first order optimization
fisher information
frobenius norm
function
gaussian elimination
general intelligence
General intelligence requires rethinking exploration
generalization
Generative Adverserial Nets
goal
graph
group normalization
High-Dimensional Continuous Control Using Generalized Advantage Estimation
homomorphism
HyperNEAT
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
independent
indirect encoding
inductive bias
initialization
intelligence
intrinsic curiosity module
Introduction to RL
invariance
inverse
inverse matrix
isomorph
isotropic
isotropic gaussian
KL-divergence
Large Memory Layers with Product Keys
law of total probability
layer normalization
learning
LeCun Initialization
life
likelihood
line segment
linear least squares regression
linear systems of equations
lipschitz continuity
liquid state machine
log-likelihood
log-sum-exp trick
logarithm
loss
machine
machine learning
markov chain monte carlo
Mastering Atari With Discrete World Models
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Mastering Diverse Domains through World Models
matrix
matrix minor
mean
mean absolute error
mean squared error
meaning of life
memory
message passing
mind
Mixture of A Million Experts
mode connectivity
momentum
monte carlo dropout
monte carlo methods
monte carlo tree search
Motif - Intrinsic Motivation from Artificial Intelligence Feedback
movement
Multi-Agent Advantage Decomposition Theorem
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
multi-head attention
multivariate gaussian distribution
NEAT
negative log-likelihood loss
neighbourhood
Neural Ordinary Differential Equations - Paper
neuron
neutral element
norm
normal subgroup
note-taking
novelty
null space
obsidian markdown features
On the Measure of Intelligence
open-ended
Open-Endedness is Essential for Artificial Superhuman Intelligence
order
orthogonal
orthogonal complement
Pascal's triangle
permutation
permutation equivariance
permutation invariance
pivot
poisson distribution
policy
policy gradient
policy gradient theorem
policy iteration
potentiation
PPO
preference-based RL
preimage
probability
probability density function
probability distribution
probability mass function
pseudo inverse
Q-Learning
Q-value
quality diversity
random variable
random walk
rank
REINFORCE
reinforcement learning
reinforcement learning from verifyable rewards
reliability
reproduction
Requirements for self organization
reservoir computing
Reservoir Computing - A New Paradigm for Neural Networks
ResNet
Resynthesizing behavior through phylogenetic refinement
robust
roots of unity
row space
sampling
SARSA
scale-free
scaled dot product attention
score function
second moment
self-attention
sensitivity
set
simulated annealing
singular value decomposition
softmax
songs of life and mind
span
SPARTA - Distributed Training with Sparse Parameter Averaging
specificity
spectral radius
spline
standard normal distribution
StarGANv2-VC A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
state-value
stationary distribution
statistics
Streaming Deep Reinforcement Learning Finally Works
subgroup
supervised learning
surjective
surprise
Sutton & Barto RL Book Notes
symmetric
symmetric group
symmetric matrix
TD Lambda
temporal difference learning
test
the big bang
The Bitter Lesson
the second brain
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games
The Unbearable Slowness of Being
transformer
Transformer Squared - Self-Adaptive LLMs
translation invariance
TRPO
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
truth
TU-Wien ADM Übungen
unitary
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
upper confidence bound
value function
value iteration
variance
vector
Wasserstein GAN
weight space
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SPARTA - Distributed Training with Sparse Parameter Averaging
epistemic uncertainty