Entropy, Free Full-Text

Por um escritor misterioso

Descrição

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
Portable Models for Entropy Effects on Kinetic Selectivity
Entropy, Free Full-Text
Gibbs free-energy change ΔG and entropy change ΔS
Entropy, Free Full-Text
Free energy levels and entropy production in muscle contraction and in related solution systems. - Abstract - Europe PMC
Entropy, Free Full-Text
Entropy in Machine Learning: Definition, Examples and Uses
Entropy, Free Full-Text
Free energy and entropy
Entropy, Free Full-Text
A Gentle Introduction to Information Entropy
Entropy, Free Full-Text
Centrum Wiskunde & Informatica: Entropy methods for Martingales
Entropy, Free Full-Text
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning
Entropy, Free Full-Text
Frontiers Entropy, Free Energy, and Symbolization: Free Association at the Intersection of Psychoanalysis and Neuroscience
Entropy, Free Full-Text
Entropymetry for detecting microcracks in high-nickel layered oxide cathodes
Entropy, Free Full-Text
Entropy, Free Full-Text
Entropy, Free Full-Text
Entropy: Why Life Always Seems to Get More Complicated
de por adulto (o preço varia de acordo com o tamanho do grupo)