A novel algorithm called Selective Particle Attention (SPA), which selects subsets of existing representations for Deep RL.
Rapidly and flexibly selecting features for deep reinforcement learning
pubmed.ncbi.nlm.nih.gov › ...
Mar 17, 2022 · We take inspiration from selective attention in biological agents and propose a novel algorithm called Selective Particle Attention (SPA), which ...
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning. Neural Networks, 2022. Sam Blakeman, Denis Mareschal*.
Feb 5, 2023 · The other one applies selective attention and particle filters to rapidly and flexibly attend to and select crucial pre-learned features for ...
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning. S Blakeman, D Mareschal. Neural Networks 150, 408-421 ...
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The other one applies selective attention and particle filters to rapidly and flexibly attend to and select crucial pre-learned features for DRL using ...
Feb 5, 2023 · The other one applies selective attention and particle filters to rapidly and flexibly attend to and select crucial pre-learned features for DRL ...
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning · Sam BlakemanD. Mareschal. Computer Science. Neural ...
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning. Article. Full-text available. Mar 2022. Sam ...
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning · Master Computer Science Deep Reinforcement Learning for ...