A useful technique for piecewise deterministic Markov decision processes
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Publication:2661590
DOI10.1016/j.orl.2020.11.002OpenAlexW3102530462MaRDI QIDQ2661590
Publication date: 7 April 2021
Published in: Operations Research Letters (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.06827
continuous-time Markov decision processespiecewise deterministic Markov decision processesunbounded transition intensities
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Cites Work
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- Constrained total undiscounted continuous-time Markov decision processes
- Markov decision processes with applications to finance.
- Berge's theorem for noncompact image sets
- On essential information in sequential decision processes
- A note on negative dynamic programming for risk-sensitive control
- On risk-sensitive piecewise deterministic Markov decision processes
- Average Cost Markov Decision Processes with Weakly Continuous Transition Probabilities
- Uniformization for semi-Markov decision processes under stationary policies
- Technical Note—An Equivalence Between Continuous and Discrete Time Markov Decision Processes
- Randomized and Relaxed Strategies in Continuous-Time Markov Decision Processes
- Comparing Semi-Markov Processes
- On Reducing a Jump Controllable Markov Model to a Model with Discrete Time
- A generalization of ‘expectation equals reciprocal of intensity' to non-stationary exponential distributions
- Reduction of Discounted Continuous-Time MDPs with Unbounded Jump and Reward Rates to Discrete-Time Total-Reward MDPs
- Continuous Average Control of Piecewise Deterministic Markov Processes
- Continuous-Time Markov Decision Processes with Exponential Utility
- Continuous Time Discounted Jump Markov Decision Processes: A Discrete-Event Approach
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