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  • Search: subject:"Actor-critic methods"
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Subject
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Actor-Critic Methods 1 Actor-critic methods 1 Agent-based modeling 1 Agentenbasierte Modellierung 1 Algorithm 1 Algorithms for better local minima 1 Algorithmus 1 Decision 1 Entscheidung 1 Estimation theory 1 Evolutionary games 1 Fisher Information Matrix 1 Function Approximations 1 Learning organization 1 Lernende Organisation 1 Lieferkette 1 Local optima value comparison 1 Logistics 1 Logistik 1 Markov decision process 1 Mathematical programming 1 Mathematische Optimierung 1 Natural Gradients 1 Networked Agents 1 Neural network 1 Neural networks 1 Neuronale Netze 1 Non-Convex Optimization 1 Q-learning 1 Quasi second-order methods 1 Reinforcement learning 1 Schätztheorie 1 Stochastic Approximations 1 Stochastic process 1 Stochastischer Prozess 1 Supply chain 1 Theorie 1 Theory 1 Traffic Network Control 1 actor-critic methods 1
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Undetermined 2 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2 Undetermined 1
Author
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BORKAR, V. S. 1 Chow, Andy H. F. 1 Hemachandra, Nandyala 1 Ho, Chin Pang 1 Kuo, Yong-Hong 1 Trivedi, Prashant 1 Wu, Qihao 1 Yan, Yimo 1 Ying, Chengshuo 1
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Published in...
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Advances in Complex Systems (ACS) 1 Dynamic games and applications : DGA 1 Transportation research / E : an international journal 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Multi-agent natural actor-critic reinforcement learning algorithms
Trivedi, Prashant; Hemachandra, Nandyala - In: Dynamic games and applications : DGA 13 (2023) 1, pp. 25-55
Persistent link: https://www.econbiz.de/10014225774
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Reinforcement learning for logistics and supply chain management : methodologies, state of the art, and future opportunities
Yan, Yimo; Chow, Andy H. F.; Ho, Chin Pang; Kuo, Yong-Hong - In: Transportation research / E : an international journal 162 (2022), pp. 1-44
Persistent link: https://www.econbiz.de/10013275974
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REINFORCEMENT LEARNING IN MARKOVIAN EVOLUTIONARY GAMES
BORKAR, V. S. - In: Advances in Complex Systems (ACS) 05 (2002) 01, pp. 55-72
A population of agents plays a stochastic dynamic game wherein there is an underlying state process with a Markovian dynamics that also affects their costs. A learning mechanism is proposed which takes into account intertemporal effects and incorporates an explicit process of expectation...
Persistent link: https://www.econbiz.de/10005080911
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