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activation space
actor critic
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
advantage
agency
agent
AI-GAs - AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
AIXI
aleatoric uncertainty
algebra
alignment
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
artificial life
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
Carmack UpperBound25
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
Conversation between Josh Bongard, Atoosa Parsa, Richard Watson, and I
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
Data-Efficient Reinforcement Learning with Self-Predictive Representations
determinant
diagonal matrix
differentiability
discipline
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
Evolving Self-Assembling Neural Networks - From Spontaneous Activity to Experience-Dependent Learning
expected value
exponential distribution
extended euclidian algorithm
factor group
factorial
factorization
first order optimization
fisher information
free will
frobenius norm
function
gaussian elimination
general intelligence
General intelligence requires rethinking exploration
General-Purpose In-Context Learning by Meta-Learning Transformers
generalization
Generative Adverserial Nets
goal
graph
group normalization
High-Dimensional Continuous Control Using Generalized Advantage Estimation
homomorphism
HyperNCA - Growing Developmental Networks with Neural Cellular Automata
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
Joscha Bach
KL-divergence
kolmogorov complexity
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
loss of plasticity
Loss of plasticity in deep continual learning
machine
Machine Consciousness - From Large Language Models to General Artificial Intelligence - Joscha Bach
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
michael levin
mind
minimum description length principle
Mixture of A Million Experts
mixture of gaussians
mode connectivity
momentum
monte carlo dropout
monte carlo methods
monte carlo tree search
morality
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
Normalization - Scaling - Standardization
note-taking
novelty
null space
obsidian markdown features
occam’s razor
On the Measure of Intelligence
open-ended
Open-Endedness is Essential for Artificial Superhuman Intelligence
order
orthogonal
orthogonal complement
pain
Pascal's triangle
permutation
permutation equivariance
permutation invariance
pivot
poisson distribution
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policy gradient
policy gradient theorem
policy iteration
potentiation
PPO
preference-based RL
preimage
probability
probability density function
probability distribution
probability mass function
productivity
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
Richard Sutton
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
solomnoff induction
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 mean preference is a bad estimate of preferences.
the second brain
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games
The Unbearable Slowness of Being
Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs
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
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value iteration
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Wasserstein GAN
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general
Folder: general
306 items under this folder.
Jun 02, 2025
unitary
Jun 02, 2025
upper confidence bound
Jun 02, 2025
value function
Jun 02, 2025
value iteration
Jun 02, 2025
variance
Jun 02, 2025
vector
Jun 02, 2025
weight space
Jun 02, 2025
solomnoff induction
Jun 02, 2025
songs of life and mind
Jun 02, 2025
span
Jun 02, 2025
specificity
Jun 02, 2025
spectral radius
Jun 02, 2025
spline
Jun 02, 2025
standard normal distribution
Jun 02, 2025
state-value
Jun 02, 2025
stationary distribution
Jun 02, 2025
statistics
Jun 02, 2025
subgroup
Jun 02, 2025
supervised learning
Jun 02, 2025
surjective
Jun 02, 2025
surprise
Jun 02, 2025
symmetric group
Jun 02, 2025
symmetric matrix
Jun 02, 2025
symmetric
Jun 02, 2025
temporal difference learning
Jun 02, 2025
test
Jun 02, 2025
the big bang
Jun 02, 2025
the second brain
Jun 02, 2025
transformer
Jun 02, 2025
translation invariance
Jun 02, 2025
truth
Jun 02, 2025
quality diversity
Jun 02, 2025
random variable
Jun 02, 2025
random walk
Jun 02, 2025
rank
Jun 02, 2025
reinforcement learning from verifyable rewards
Jun 02, 2025
reinforcement learning
Jun 02, 2025
reliability
Jun 02, 2025
reproduction
Jun 02, 2025
reservoir computing
Jun 02, 2025
robust
Jun 02, 2025
roots of unity
Jun 02, 2025
row space
Jun 02, 2025
sampling
Jun 02, 2025
scale-free
Jun 02, 2025
scaled dot product attention
Jun 02, 2025
score function
Jun 02, 2025
second moment
Jun 02, 2025
self-attention
Jun 02, 2025
sensitivity
Jun 02, 2025
set
Jun 02, 2025
simulated annealing
Jun 02, 2025
singular value decomposition
Jun 02, 2025
softmax
Jun 02, 2025
occam’s razor
Jun 02, 2025
open-ended
Jun 02, 2025
order
Jun 02, 2025
orthogonal complement
Jun 02, 2025
orthogonal
Jun 02, 2025
pain
Jun 02, 2025
permutation equivariance
Jun 02, 2025
permutation invariance
Jun 02, 2025
permutation
Jun 02, 2025
pivot
Jun 02, 2025
poisson distribution
Jun 02, 2025
policy gradient theorem
Jun 02, 2025
policy gradient
Jun 02, 2025
policy iteration
Jun 02, 2025
policy
Jun 02, 2025
potentiation
Jun 02, 2025
preference-based RL
Jun 02, 2025
preimage
Jun 02, 2025
probability density function
Jun 02, 2025
probability distribution
Jun 02, 2025
probability mass function
Jun 02, 2025
probability
Jun 02, 2025
productivity
Jun 02, 2025
pseudo inverse
Jun 02, 2025
mind
Jun 02, 2025
minimum description length principle
Jun 02, 2025
mixture of gaussians
Jun 02, 2025
mode connectivity
Jun 02, 2025
momentum
Jun 02, 2025
monte carlo dropout
Jun 02, 2025
monte carlo methods
Jun 02, 2025
monte carlo tree search
Jun 02, 2025
morality
Jun 02, 2025
movement
Jun 02, 2025
multi-head attention
Jun 02, 2025
multivariate gaussian distribution
Jun 02, 2025
negative log-likelihood loss
Jun 02, 2025
neighbourhood
Jun 02, 2025
neuron
Jun 02, 2025
neutral element
Jun 02, 2025
norm
Jun 02, 2025
normal subgroup
Jun 02, 2025
note-taking
Jun 02, 2025
novelty
Jun 02, 2025
null space
Jun 02, 2025
obsidian markdown features
Jun 02, 2025
likelihood
Jun 02, 2025
line segment
Jun 02, 2025
linear least squares regression
Jun 02, 2025
linear systems of equations
Jun 02, 2025
lipschitz continuity
Jun 02, 2025
liquid state machine
Jun 02, 2025
log-likelihood
Jun 02, 2025
log-sum-exp trick
Jun 02, 2025
logarithm
Jun 02, 2025
loss of plasticity
Jun 02, 2025
loss
Jun 02, 2025
machine learning
Jun 02, 2025
machine
Jun 02, 2025
markov chain monte carlo
Jun 02, 2025
matrix minor
Jun 02, 2025
matrix
Jun 02, 2025
mean absolute error
Jun 02, 2025
mean squared error
Jun 02, 2025
mean
Jun 02, 2025
meaning of life
Jun 02, 2025
memory
Jun 02, 2025
message passing
Jun 02, 2025
michael levin
Jun 02, 2025
general intelligence
Jun 02, 2025
generalization
Jun 02, 2025
goal
Jun 02, 2025
graph
Jun 02, 2025
group normalization
Jun 02, 2025
homomorphism
Jun 02, 2025
independent
Jun 02, 2025
indirect encoding
Jun 02, 2025
inductive bias
Jun 02, 2025
initialization
Jun 02, 2025
intelligence
Jun 02, 2025
intrinsic curiosity module
Jun 02, 2025
invariance
Jun 02, 2025
inverse matrix
Jun 02, 2025
inverse
Jun 02, 2025
isomorph
Jun 02, 2025
isotropic gaussian
Jun 02, 2025
isotropic
Jun 02, 2025
kolmogorov complexity
Jun 02, 2025
law of total probability
Jun 02, 2025
layer normalization
Jun 02, 2025
learning
Jun 02, 2025
life
Jun 02, 2025
dropout
Jun 02, 2025
echo state network
Jun 02, 2025
eigendecomposition
Jun 02, 2025
eigenspace
Jun 02, 2025
eigenvalue
Jun 02, 2025
eligibility trace
Jun 02, 2025
ensembles
Jun 02, 2025
epistemic uncertainty
Jun 02, 2025
epistemic
Jun 02, 2025
epsilon greedy
Jun 02, 2025
equivariance
Jun 02, 2025
evolutionary optimization
Jun 02, 2025
expected value
Jun 02, 2025
exponential distribution
ccc
Jun 02, 2025
extended euclidian algorithm
Jun 02, 2025
factor group
Jun 02, 2025
factorial
Jun 02, 2025
factorization
Jun 02, 2025
first order optimization
Jun 02, 2025
fisher information
Jun 02, 2025
free will
Jun 02, 2025
frobenius norm
Jun 02, 2025
function
Jun 02, 2025
gaussian elimination
Jun 02, 2025
cosine similarity
Jun 02, 2025
covariance
Jun 02, 2025
credit assignment
Jun 02, 2025
critical state
Jun 02, 2025
cross product
Jun 02, 2025
cross-attention
Jun 02, 2025
cross-entropy loss
Jun 02, 2025
cross-entropy
Jun 02, 2025
cumulative distribution function
Jun 02, 2025
curiosity
Jun 02, 2025
curse of dimensionality
Jun 02, 2025
cycle-consistency
Jun 02, 2025
cyclic group
Jun 02, 2025
determinant
Jun 02, 2025
diagonal matrix
Jun 02, 2025
differentiability
Jun 02, 2025
discipline
Jun 02, 2025
dot product
Jun 02, 2025
cellular automata
Jun 02, 2025
central moment
Jun 02, 2025
chain rule of probability
Jun 02, 2025
closure
Jun 02, 2025
cma-es
Jun 02, 2025
column space
Jun 02, 2025
combinatorics
Jun 02, 2025
computational irreducibility
Jun 02, 2025
conditional probability
Jun 02, 2025
congruence class
Jun 02, 2025
congruence
Jun 02, 2025
consciousness
Jun 02, 2025
continuous
Jun 02, 2025
correlation matrix
Jun 02, 2025
coset
Jun 02, 2025
attention (general)
Jun 02, 2025
batch normalization
Jun 02, 2025
bayesian neural network
Jun 02, 2025
beauty
Jun 02, 2025
bernoulli
Jun 02, 2025
bias-variance tradeoff
Jun 02, 2025
bias
Jun 02, 2025
bijective
Jun 02, 2025
binomial coefficient
Jun 02, 2025
binomial distribution
Jun 02, 2025
bootstrapping
Jun 02, 2025
borel set
Jun 02, 2025
bourgeois democracy
Jun 02, 2025
bourgeois
Jun 02, 2025
cartesian product
Jun 02, 2025
categories
Jun 02, 2025
causal attention
Jun 02, 2025
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Jun 02, 2025
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun 02, 2025
Wasserstein GAN
Jun 02, 2025
activation space
Jun 02, 2025
actor critic
Jun 02, 2025
advantage
Jun 02, 2025
agency
Jun 02, 2025
agent
Jun 02, 2025
aleatoric uncertainty
Jun 02, 2025
algebra
Jun 02, 2025
alignment
Jun 02, 2025
artificial life
Jun 02, 2025
artificial neural network
Jun 02, 2025
astrocyte
Jun 02, 2025
attention (ML)
Jun 02, 2025
Sutton & Barto RL Book Notes
Jun 02, 2025
TD Lambda
Jun 02, 2025
TRPO
Jun 02, 2025
TU-Wien ADM Übungen
Jun 02, 2025
The Bitter Lesson
Jun 02, 2025
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games
Jun 02, 2025
The Unbearable Slowness of Being
Jun 02, 2025
The mean preference is a bad estimate of preferences.
Jun 02, 2025
Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs
Jun 02, 2025
Transformer Squared - Self-Adaptive LLMs
Jun 02, 2025
Open-Endedness is Essential for Artificial Superhuman Intelligence
Jun 02, 2025
PPO
Jun 02, 2025
Pascal's triangle
Jun 02, 2025
Q-Learning
Jun 02, 2025
Q-value
Jun 02, 2025
REINFORCE
Jun 02, 2025
Requirements for self organization
Jun 02, 2025
ResNet
Jun 02, 2025
Reservoir Computing - A New Paradigm for Neural Networks
Jun 02, 2025
Resynthesizing behavior through phylogenetic refinement
Jun 02, 2025
Richard Sutton
Jun 02, 2025
SARSA
Jun 02, 2025
SPARTA - Distributed Training with Sparse Parameter Averaging
Jun 02, 2025
StarGANv2-VC A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
Jun 02, 2025
Streaming Deep Reinforcement Learning Finally Works
Jun 02, 2025
Machine Consciousness - From Large Language Models to General Artificial Intelligence - Joscha Bach
Jun 02, 2025
Mastering Atari With Discrete World Models
Jun 02, 2025
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Jun 02, 2025
Mastering Diverse Domains through World Models
Jun 02, 2025
Mixture of A Million Experts
Jun 02, 2025
Motif - Intrinsic Motivation from Artificial Intelligence Feedback
Jun 02, 2025
Multi-Agent Advantage Decomposition Theorem
Jun 02, 2025
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Jun 02, 2025
NEAT
Jun 02, 2025
Neural Ordinary Differential Equations - Paper
Jun 02, 2025
Normalization - Scaling - Standardization
Jun 02, 2025
On the Measure of Intelligence
Jun 02, 2025
High-Dimensional Continuous Control Using Generalized Advantage Estimation
Jun 02, 2025
HyperNCA - Growing Developmental Networks with Neural Cellular Automata
Jun 02, 2025
HyperNEAT
Jun 02, 2025
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Jun 02, 2025
Introduction to RL
Jun 02, 2025
Joscha Bach
Jun 02, 2025
KL-divergence
Jun 02, 2025
Large Memory Layers with Product Keys
Jun 02, 2025
LeCun Initialization
Jun 02, 2025
Loss of plasticity in deep continual learning
Jun 02, 2025
ES-HyperNEAT
Jun 02, 2025
Embracing curiosity eliminates the exploration-exploitation dilemma
Jun 02, 2025
Encoding innate ability through a genomic bottleneck
Jun 02, 2025
EngramNCA - A Neural Cellular Automaton Model of Memory Transfer
Jun 02, 2025
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Jun 02, 2025
Evolving Self-Assembling Neural Networks - From Spontaneous Activity to Experience-Dependent Learning
Jun 02, 2025
General intelligence requires rethinking exploration
Jun 02, 2025
General-Purpose In-Context Learning by Meta-Learning Transformers
Jun 02, 2025
Generative Adverserial Nets
Jun 02, 2025
AIXI
Jun 02, 2025
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Jun 02, 2025
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Jun 02, 2025
Automating the Search for Artificial Life with Foundation Models
Jun 02, 2025
Bayes Theorem
Jun 02, 2025
Carmack UpperBound25
Jun 02, 2025
Consciousness as a coherence-inducing operator - Cosciousness is virtual
Jun 02, 2025
Conversation between Josh Bongard, Atoosa Parsa, Richard Watson, and I
Jun 02, 2025
Curiosity-driven Exploration by Self-supervised Prediction
Jun 02, 2025
DQN
Jun 02, 2025
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Jun 02, 2025
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model
Jun 02, 2025
Dream To Control - Learning Behaviours By Latent Imagination
Jun 02, 2025
DropConnect
Jun 02, 2025
AI-GAs - AI-generating algorithms, an alternate paradigm for producing general artificial intelligence