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Autor:
Ruman, Marko, Guy, Tatiana V.
Deep reinforcement learning has demonstrated superhuman performance in complex decision-making tasks, but it struggles with generalization and knowledge reuse - key aspects of true intelligence. This article introduces a novel approach that modifies
Externí odkaz:
http://arxiv.org/abs/2209.06604
Autor:
Ruman, Marko, Guy, Tatiana V.
Deep reinforcement learning has shown an ability to achieve super-human performance in solving complex reinforcement learning (RL) tasks only from raw-pixels. However, it fails to reuse knowledge from previously learnt tasks to solve new, unseen ones
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c12cdf188953b4401aeaa699fb9d218f
http://arxiv.org/abs/2209.06604
http://arxiv.org/abs/2209.06604
Akademický článek
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Publikováno v:
Artificial Neural Networks & Machine Learning - ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I; 2016, p330-338, 9p
Publikováno v:
Artificial Neural Networks & Machine Learning - ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I; 2016, p230-237, 8p