Entropy, Free Full-Text

Por um escritor misterioso
Last updated 21 novembro 2024
Entropy, Free Full-Text
Recently, deep reinforcement learning (RL) algorithms have achieved significant progress in the multi-agent domain. However, training for increasingly complex tasks would be time-consuming and resource intensive. To alleviate this problem, efficient leveraging of historical experience is essential, which is under-explored in previous studies because most existing methods fail to achieve this goal in a continuously dynamic system owing to their complicated design. In this paper, we propose a method for knowledge reuse called “KnowRU”, which can be easily deployed in the majority of multi-agent reinforcement learning (MARL) algorithms without requiring complicated hand-coded design. We employ the knowledge distillation paradigm to transfer knowledge among agents to shorten the training phase for new tasks while improving the asymptotic performance of agents. To empirically demonstrate the robustness and effectiveness of KnowRU, we perform extensive experiments on state-of-the-art MARL algorithms in collaborative and competitive scenarios. The results show that KnowRU outperforms recently reported methods and not only successfully accelerates the training phase, but also improves the training performance, emphasizing the importance of the proposed knowledge reuse for MARL.
Entropy, Free Full-Text
Estimating time-dependent entropy production from non-equilibrium trajectories
Entropy, Free Full-Text
Entropy in Machine Learning: Definition, Examples and Uses
Entropy, Free Full-Text
Enthalpy, Entropy & Free Energy, Overview & Relationship - Video & Lesson Transcript
Entropy, Free Full-Text
Entropy-Free Energy 01 Answers PDF, PDF, Entropy
Entropy, Free Full-Text
Entropy and Free Energy - ppt download
Entropy, Free Full-Text
Entropy theory for sectional hyperbolic flows
Entropy, Free Full-Text
Gibbs free energy and spontaneity (article)
Entropy, Free Full-Text
Solved X = Problem 5. Just as the entropy is maximized by a
Entropy, Free Full-Text
Entropy Definition Print on Burlap Gift for Science Teachers

© 2014-2024 likytut.eu. All rights reserved.