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Mark J. Debord

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Conference and Workshop Papers

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2023
[c3]
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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/l4dc/FarahmandiRDPEH23
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  - https://dblp.org/rec/conf/l4dc/FarahmandiRDPEH23
Alireza Farahmandi, Brian C. Reitz, Mark J. Debord, Douglas Philbrick, Katia Estabridis, Gary A. Hewer:
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control. L4DC 2023: 1455-1466
2021
[c2]
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  dblp key:
  - conf/msml/LinDEHMO21
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  - https://dblp.org/rec/conf/msml/LinDEHMO21
Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Guido Montúfar, Stanley J. Osher:
Decentralized Multi-Agents by Imitation of a Centralized Controller. MSML 2021: 619-651
2020
[c1]
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  dblp key:
  - conf/iros/KirchnerDH20
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  - https://dblp.org/rec/conf/iros/KirchnerDH20
Matthew R. Kirchner, Mark J. Debord, João P. Hespanha:
A Hamilton-Jacobi Formulation for Optimal Coordination of Heterogeneous Multiple Vehicle Systems^*. IROS 2020: 11623-11630

Informal and Other Publications

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2020
[i2]
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  - journals/corr/abs-2003-05792
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Matthew R. Kirchner, Mark J. Debord, João P. Hespanha:
A Hamilton-Jacobi Formulation for Optimal Coordination of Heterogeneous Multiple Vehicle Systems. CoRR abs/2003.05792 (2020)
2019
[i1]
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  - journals/corr/abs-1902-02311
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Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher:
CESMA: Centralized Expert Supervises Multi-Agents. CoRR abs/1902.02311 (2019)

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