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Approximate Information States for Worst-Case Control and Learning in
  Uncertain Systems

Approximate Information States for Worst-Case Control and Learning in Uncertain Systems

12 January 2023
Aditya Dave
N. Venkatesh
Andreas A. Malikopoulos
ArXivPDFHTML

Papers citing "Approximate Information States for Worst-Case Control and Learning in Uncertain Systems"

4 / 4 papers shown
Title
Agent-state based policies in POMDPs: Beyond belief-state MDPs
Agent-state based policies in POMDPs: Beyond belief-state MDPs
Amit Sinha
Aditya Mahajan
26
2
0
24 Sep 2024
Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver
  Behavior for Effective On-Ramp Merging
Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging
N. Venkatesh
Viet-Anh Le
Aditya Dave
Andreas A. Malikopoulos
18
17
0
01 Apr 2023
Worst-Case Control and Learning Using Partial Observations Over an
  Infinite Time-Horizon
Worst-Case Control and Learning Using Partial Observations Over an Infinite Time-Horizon
Aditya Dave
Ioannis Faros
N. Venkatesh
Andreas A. Malikopoulos
23
7
0
28 Mar 2023
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
1