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Evaluating and Selecting Deep Reinforcement Learning Models..:

, In: 2024 8th International Conference on Control Engineering and Artificial Intelligence,

Liu, Yuchen ; Man, Ka Lok ; Li, Gangmin.. - p. 215-219 , 2024

Link: https://dl.acm.org/doi/10.1145/3640824.3640871

RT 
T1 <cTitle>2024 8th International Conference on Control Engineering and Artificial Intelligence</cTitle>: T1 <Title>Evaluating and Selecting Deep Reinforcement Learning Models for OptimalDynamic Pricing: A Systematic Comparison of PPO, DDPG, and SAC</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3640871&Exemplar=1&LAN=DE
				
A1 Liu, Yuchen
A1 Man, Ka Lok
A1 Li, Gangmin
A1 Payne, Terry R.
A1 Yue, Yong
PB ACM
YR 2024
K1 DDPG (Deep Deterministic Policy Gradient)
K1 Deep Reinforcement Learning (DRL)
K1 Dynamic Pricing
K1 E-commerce
K1 Inventory Management
K1 Markov Decision Process
K1 Model Evaluation
K1 PPO (Proximal Policy Optimization)
K1 Price Elasticity of Demand
K1 SAC (Soft Actor-Critic)
K1 Information systems
K1 Information systems applications
K1 Decision support systems
K1 Online analytical processing
K1 Process control systems
K1 Data mining
K1 Association rules
SP 215
OP 219
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3640824.3640871
DO https://dl.acm.org/doi/10.1145/3640824.3640871
SF ELIB - SuUB Bremen

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