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saqib · 265 Days ago

[DDEW03] Discovering drag reduction strategies in wall-bounded turbulent flows using deep #reinforcementlearning - Isaac Newton Institute

newton.ac.uk


saqib · 334 Days ago

Towards a physics-informed deep #reinforcementlearning framework for more accurate large-eddy simulation of turbulent flows | @Trent Uni

ntu.ac.uk



saqib · 366 Days ago

Top-down design of protein architectures with #reinforcementlearning – Institute for Protein Design

ipd.uw.edu


saqib · 368 Days ago

Towards truly open-ended #reinforcementlearning - ORA - Oxford University #Research Archive

ora.ox.ac.uk


saqib · 418 Days ago

Confirmatory #reinforcementlearning changes with age during adolescence - @UCL Discovery

discovery.ucl.ac.uk


saqib · 511 Days ago

Multi-band provisioning in dynamic elastic optical networks : a comparative study of a heuristic and a deep #reinforcementlearning approach - @UCL Discovery

discovery.ucl.ac.uk


saqib · 545 Days ago

[2210.14876v1] Quantum deep recurrent #reinforcementlearning https://arxiv.org/abs/2210.14876v1

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saqib · 554 Days ago

[2210.08085] Adaptive patch foraging in deep #reinforcementlearning agents https://arxiv.org/abs/2210.08085

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saqib · 555 Days ago

Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep #reinforcementlearning - @UCL Discovery https://discovery.ucl.ac.uk/id/eprint/10135003/

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saqib · 555 Days ago

Inductive biases in theory-based #reinforcementlearning - PubMed https://pubmed.ncbi.nlm.nih.gov/36152355/?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=None&utm_content=1z_pxc-9fhP1GO32ZrLKMGmZj31a9tTVltV2Nim3hswyNQlEJa&fc=None&ff=20221016230744&v=2.17.8

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saqib · 560 Days ago

Collaborative hunting in artificial agents with deep #reinforcementlearning | bioRxiv https://www.biorxiv.org/content/10.1101/2022.10.10.511517v1?rss=1&utm_source=dlvr.it&utm_medium=twitter

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saqib · 562 Days ago

#Clustering and generalization of abstract structures in #reinforcementlearning and musicality - Wellcome Centre for Human Neuroimaging | FIL | @UCL https://www.fil.ion.ucl.ac.uk/event/michaelfrank/

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