12
reinforcement-learning
× 13 |
3
performance
|
1
getting-started
× 2 |
1
atari-games
|
12
deep-rl
× 7 |
3
vgg
|
1
object-detection
× 2 |
1
papers
|
9
convolutional-neural-networks
× 8 |
3
hidden-layers
|
1
gaming
× 2 |
1
hardware
|
7
neural-networks
× 10 |
3
classification
|
1
convolution
|
1
value-functions
|
7
definitions
|
3
research
|
1
double-dqn
|
1
optimization
|
5
dqn
× 6 |
2
alphazero
× 2 |
1
proofs
|
1
quantification
|
5
deep-learning
× 6 |
2
alphago-zero
× 2 |
1
autonomous-vehicles
|
0
automation
|
5
math
× 3 |
2
weights-initialization
|
1
google
|
0
rewards
|
5
loss-functions
× 3 |
2
weights
|
1
search
|
0
tensorflow
|
4
machine-learning
× 7 |
2
constrained-optimization
|
1
autoencoders
|
0
game-ai
|
3
q-learning
× 3 |
2
backpropagation
|
1
chess
|
0
combinatorial-games
|
3
training
× 2 |
1
computer-vision
× 3 |
1
alpha-beta-pruning
|
0
monte-carlo-tree-search
|
3
gradient-descent
× 2 |
1
object-recognition
× 3 |
1
comparison
|
0
imperfect-information
|
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