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Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
This paper focuses on finding reinforcement learning policies for contro...
03/20/2020 ∙ by Liyuan Zheng, et al. ∙
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Constrained Upper Confidence Reinforcement Learning
Constrained Markov Decision Processes are a class of stochastic decision...
01/26/2020 ∙ by Liyuan Zheng, et al. ∙
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Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences
The design of personalized incentives or recommendations to improve user...
07/06/2018 ∙ by Tanner Fiez, et al. ∙
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Incentives in the Dark: Multi-armed Bandits for Evolving Users with Unknown Type
Design of incentives or recommendations to users is becoming more common...
03/11/2018 ∙ by Lillian J. Ratliff, et al. ∙
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Towards a Socially Optimal Multi-Modal Routing Platform
The increasing rate of urbanization has added pressure on the already co...
02/27/2018 ∙ by Chinmaya Samal, et al. ∙
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Uncertainty in Multi-Commodity Routing Networks: When does it help?
We study the equilibrium quality under user uncertainty in a multi-commo...
09/25/2017 ∙ by Shreyas Sekar, et al. ∙
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