Max Wolf's Second Brain
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Explorer
general
actor critic
advantage
algebra
Bayes Theorem
bernoulli
bias
bias-variance tradeoff
bijective
binomial coefficient
binomial distribution
bootstrapping
borel set
central moment
chain rule of probability
closure
column space
combinatorics
conditional probability
congruence
congruence class
Consciousness as a coherence-inducing operator - Cosciousness is virtual
correlation matrix
coset
covariance
credit assignment
cross-attention
cross-entropy
cross-entropy loss
cumulative distribution function
curiosity
cyclic group
derivatives
determinant
diagonal matrix
DQN
eigendecomposition
eigenspace
eigenvalue
Embracing curiosity eliminates the exploration-exploitation dilemma
epsilon greedy
expected value
factor group
factorization
first order optimization
fisher information
frobenius norm
function
gaussian elimination
graph
High-Dimensional Continuous Control Using Generalized Advantage Estimation
homomorphism
independent
initialization
Introduction to RL
inverse
inverse matrix
isomorph
isotropic
isotropic gaussian
KL-divergence
law of total probability
likelihood
line segment
linear least squares regression
linear systems of equations
log-likelihood
log-sum-exp trick
logarithm
markov chain monte carlo
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
matrix
mean
Mixture of A Million Experts
monte carlo methods
monte carlo tree search
Multi-Agent Advantage Decomposition Theorem
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
multivariate gaussian distribution
negative log-likelihood loss
Neural Ordinary Differential Equations - Paper
neutral element
normal subgroup
note-taking
null space
obsidian markdown features
Open-Endedness is Essential for Artificial Superhuman Intelligence
order
orthogonal
orthogonal complement
Pascal's triangle
permutation
pivot
poisson distribution
policy
policy gradient
policy gradient theorem
policy iteration
potentiation
PPO
preimage
probability
probability density function
probability distribution
probability mass function
pseudo inverse
Q-Learning
Q-value
random variable
random walk
rank
REINFORCE
reinforcement learning
reliability
reproduction
Requirements for self organization
ResNet
robust
roots of unity
row space
sampling
SARSA
score function
second moment
self-attention
sensitivity
set
singular value decomposition
span
SPARTA - Distributed Training with Sparse Parameter Averaging
specificity
standard normal distribution
state-value
stationary distribution
statistics
subgroup
surjective
surprise
symmetric matrix
TD Lambda
temporal difference learning
test
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
TRPO
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
TU-Wien ADM Übungen
unitary
value function
value iteration
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