A Viscosity Approach to Stochastic Differential Games of Control and Stopping Involving Impulsive Control
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Abstract (arXiv)
This paper analyses a stochastic differential game of control and stopping in which one of the players modifies a diffusion process using impulse controls, an adversary then chooses a stopping time to end the game. The paper firstly establishes the regularity and boundedness of the upper and lower value functions from which an appropriate variant of the dynamic programming principle (DPP) is derived. It is then proven that the upper and lower value functions coincide so that the game admits a value and that the value of the game is a unique viscosity solution to a HJBI equation described by a double obstacle quasi-integro-variational inequality.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Mar 2018.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 0; 2024: 1.
5 papers.
- 2021Learning to Shape Rewards using a Game of Two Partnerscited by 9
- 2021DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Interventioncited by 4
- 2022Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraintscited by 2
- 2024All Language Models Large and Smallcited by 1
- 2022SEREN: Knowing When to Explore and When to Exploitcited by 0
- 2024All Language Models Large and Small19 Feb 2024
- 2022Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints31 May 2022
- 2022SEREN: Knowing When to Explore and When to Exploit30 May 2022
- 2021DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention27 Oct 2021
- 2021Learning to Shape Rewards using a Game of Two Partners16 Mar 2021