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researcher

D. Parker

17 papers hereh-index 5112.4k citations141 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author11
  • last author5

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LO10
  • cs.AI4
  • cs.CR1
  • cs.GT1
  • eess.SY1
same name
  • D. Parker — 55 papers, h 31
  • D. Parker — 24 papers, h 20
  • D. Parker — 17 papers, h 8
  • D. Parker — 15 papers, h 7
  • D. Parker — 12 papers, h 17
  • D. Parker — 7 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedRobust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions

32 citations · 80 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.AI2023

Safe POMDP Online Planning via Shielding

Shili Sheng, David Parker, Lu Feng

Partially observable Markov decision processes (POMDPs) have been widely used in many robotic applications for sequential decision-making under uncertainty. POMDP online planning a…

cs.LO2023

Distributional Probabilistic Model Checking

Ingy Elsayed-Aly, David Parker, Lu Feng

Probabilistic model checking can provide formal guarantees on the behavior of stochastic models relating to a wide range of quantitative properties, such as runtime, energy consump…

cs.LO2023

Multi-Agent Verification and Control with Probabilistic Model Checking

David Parker

Probabilistic model checking is a technique for formal automated reasoning about software or hardware systems that operate in the context of uncertainty or stochasticity. It builds…

eess.SY2023★ 32 cited

Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions

Thom Badings, Licio Romao, Alessandro Abate +4

Controllers for dynamical systems that operate in safety-critical settings must account for stochastic disturbances. Such disturbances are often modeled as process noise in a dynam…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.