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mugoh

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reinforcement-learning

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7 Questions

Votes Activity Newest Views
 
2
votes
1
answer
57
views

Are linear approximators better suited to some tasks compared to complex neural net functions?

reinforcement-learning control-problem model-based-methods linear-programming
Feb 11 at 14:04 Community♦ 1
 
2
votes
1
answer
88
views

What are proxy reward functions?

reinforcement-learning definitions papers reward-functions
Nov 13 at 17:03 Community♦ 1
 
1
vote
1
answer
40
views

Why are shallow networks so prevalent in RL?

neural-networks reinforcement-learning deep-learning deep-rl
Nov 23 at 8:28 mugoh 343
 
1
vote
0
answers
32
views

What adapts an algorithm to continuous or to discrete action spaces?

reinforcement-learning dqn reinforce continuous-action-spaces discrete-action-spaces
Nov 15 at 23:37 nbro♦ 25.6k
 
1
vote
1
answer
77
views

Can entire neural networks be composed of only activation functions?

neural-networks reinforcement-learning papers activation-function inverse-rl
Nov 9 at 15:43 mugoh 343
 
1
vote
2
answers
67
views

When should one prefer using Total Variational Divergence over KL divergence in RL

reinforcement-learning comparison probability-distribution kl-divergence total-variational-distance
Oct 8 at 14:59 nbro♦ 25.6k
2
1
vote
0
answers
26
views

How do non-local neural networks relate to attention and self-attention?

neural-networks computer-vision papers attention
Sep 7 at 12:38 nbro♦ 25.6k
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