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Barrier Functions for Multiagent-POMDPs with DTL Specifications

Barrier Functions for Multiagent-POMDPs with DTL Specifications

IEEE Conference on Decision and Control (CDC), 2020
19 March 2020
M. Ahmadi
Andrew W. Singletary
J. W. Burdick
Aaron D. Ames
ArXiv (abs)PDFHTML

Papers citing "Barrier Functions for Multiagent-POMDPs with DTL Specifications"

4 / 4 papers shown
Joint Learning of Reward Machines and Policies in Environments with
  Partially Known Semantics
Joint Learning of Reward Machines and Policies in Environments with Partially Known SemanticsArtificial Intelligence (AIJ), 2022
Christos K. Verginis
Cevahir Köprülü
Sandeep Chinchali
Ufuk Topcu
266
16
0
20 Apr 2022
Reinforcement Learning with Temporal Logic Constraints for
  Partially-Observable Markov Decision Processes
Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes
Yu Wang
A. Bozkurt
Miroslav Pajic
AI4CE
228
4
0
04 Apr 2021
Risk-Averse Planning via CVaR Barrier Functions: Application to Bipedal
  Robot Locomotion
Risk-Averse Planning via CVaR Barrier Functions: Application to Bipedal Robot Locomotion
M. Ahmadi
Xiaobin Xiong
Aaron D. Ames
262
10
0
03 Nov 2020
Formal Test Synthesis for Safety-Critical Autonomous Systems based on
  Control Barrier Functions
Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier FunctionsIEEE Conference on Decision and Control (CDC), 2020
Prithvi Akella
M. Ahmadi
R. Murray
Aaron D. Ames
304
8
0
08 Apr 2020
1
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