ACRE: Actor-Critic with Reward-Preserving Exploration

While reinforcement learning (RL) algorithms have generated impressive strategies for a wide range of tasks, the performance improvements in continuous-domain, real-world problems do not follow the same trend. Poor exploration and quick convergence to locally optimal solutions play a dominant role....

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Veröffentlicht in:	Neural computing & applications 2023-10, Vol.35 (30), p.22563-22576
Hauptverfasser:	Kapoutsis, Athanasios Ch, Koutras, Dimitrios I., Korkas, Christos D., Kosmatopoulos, Elias B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image Processing and Computer Vision Machine learning Markov processes Optimization Original Article Probabilistic models Probability and Statistics in Computer Science
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