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1
Deep Reinforcement Learning with Python - Second Edition
PACKT PUBLISHING LIMITED
SUDHARSAN RAVICHANDIRAN
policy
function
network
𝜃𝜃
𝑠𝑠
compute
optimal
method
reward
parameter
𝑠𝑠𝑠
gradient
figure
critic
target
update
𝑎𝑎
episode
probability
dqn
algorithm
equation
step
values
preceding
select
iteration
𝜋𝜋
reinforcement
initialize
input
𝑄𝑄
random
maximum
gym
𝜙𝜙
methods
shown
define
epsilon
layer
objective
𝑠𝑠𝑡𝑡
replay
shows
buffer
computing
bellman
carlo
understanding
Ano:
2020
Idioma:
english
Arquivo:
PDF, 27.31 MB
As suas tags:
5.0
/
5.0
english, 2020
2
Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
Rowel Atienza
network
figure
generator
input
discriminator
function
equation
layer
mnist
inputs
labels
output
networks
listing
fake
latent
encoder
activation
policy
adversarial
anchor
boxes
dataset
gradient
dense
outputs
shown
models
shows
feature
vector
digit
kernel_size
batch
algorithm
shape
𝒛𝒛
decoder
accuracy
image_size
𝒙𝒙
batch_size
segmentation
functions
cnn
𝑥𝑥
filters
relu
parameters
reward
Ano:
2020
Idioma:
english
Arquivo:
PDF, 19.06 MB
As suas tags:
0
/
5.0
english, 2020
3
Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
Packt Publishing
Rowel Atienza
network
figure
generator
input
discriminator
function
equation
layer
mnist
inputs
labels
output
networks
listing
fake
latent
encoder
activation
policy
adversarial
anchor
boxes
dataset
gradient
dense
outputs
shown
models
shows
feature
vector
digit
kernel_size
batch
algorithm
shape
𝒛𝒛
decoder
accuracy
image_size
𝒙𝒙
batch_size
segmentation
functions
cnn
𝑥𝑥
filters
relu
parameters
reward
Ano:
2020
Idioma:
english
Arquivo:
PDF, 20.08 MB
As suas tags:
5.0
/
5.0
english, 2020
4
Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices
Packt Publishing
Enes Bilgin
policy
reward
methods
function
𝑠𝑠
reinforcement
step
values
network
𝑎𝑎
𝜃𝜃
algorithm
figure
algorithms
gradient
inventory
exploration
estimate
rllib
models
sample
policies
approach
method
markov
observations
config
environments
rewards
challenges
generalization
optimal
simulation
update
context
probability
ray
grid
𝑆𝑆𝑡𝑡
meta
approaches
discuss
neural
𝜋𝜋
random
parameters
𝜋𝜋𝜃𝜃
observation
networks
info
Ano:
2020
Idioma:
english
Arquivo:
PDF, 14.13 MB
As suas tags:
5.0
/
0
english, 2020
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