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Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance
This paper investigates the optimization problem of an infinite stage di...
08/09/2020 ∙ by Li Xia, et al. ∙
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SOAC: The Soft Option Actor-Critic Architecture
The option framework has shown great promise by automatically extracting...
06/25/2020 ∙ by Chenghao Li, et al. ∙
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Embedding-based Retrieval in Facebook Search
Search in social networks such as Facebook poses different challenges th...
06/20/2020 ∙ by Jui-Ting Huang, et al. ∙
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Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
The generative adversarial imitation learning (GAIL) has provided an adv...
06/05/2020 ∙ by Ming Zhang, et al. ∙
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Distributional Soft Actor Critic for Risk Sensitive Learning
Most of reinforcement learning (RL) algorithms aim at maximizing the exp...
04/30/2020 ∙ by Xiaoteng Ma, et al. ∙
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Multi-action Offline Policy Learning with Bayesian Optimization
We study an offline multi-action policy learning algorithm based on doub...
03/17/2020 ∙ by Fang Cai, et al. ∙
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An Overview for Markov Decision Processes in Queues and Networks
Markov decision processes (MDPs) in queues and networks have been an int...
07/24/2019 ∙ by Quan-Lin Li, et al. ∙
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Optimal Asynchronous Dynamic Policies in Energy-Efficient Data Centers
In this paper, we use a Markov decision process to find optimal asynchro...
01/05/2019 ∙ by Jing-Yu Ma, et al. ∙
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Group-Server Queues
By analyzing energy-efficient management of data centers, this paper pro...
06/11/2017 ∙ by Quan-Lin Li, et al. ∙
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