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mugoh

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reinforcement-learning

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11 posts edited

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7 Questions

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2

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57

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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

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95

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What are proxy reward functions?

reinforcement-learning definitions papers reward-functions

Nov 13 at 17:03 Community♦ 1

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1

answer

40

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Why are shallow networks so prevalent in RL?

neural-networks reinforcement-learning deep-learning deep-rl

Nov 23 at 8:28 mugoh 345

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40

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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♦ 26.2k

1

vote

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answer

77

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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 345

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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♦ 26.2k

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

neural-networks computer-vision papers attention

Sep 7 at 12:38 nbro♦ 26.2k

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