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Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent
  Neural Networks

Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks

20 March 2019
Steven Carr
N. Jansen
Ralf Wimmer
A. Serban
Bernd Becker
Ufuk Topcu
ArXivPDFHTML

Papers citing "Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks"

4 / 4 papers shown
Title
Strengthening Deterministic Policies for POMDPs
Strengthening Deterministic Policies for POMDPs
Leonore Winterer
Ralf Wimmer
N. Jansen
Bernd Becker
16
4
0
16 Jul 2020
Enforcing Almost-Sure Reachability in POMDPs
Enforcing Almost-Sure Reachability in POMDPs
Sebastian Junges
N. Jansen
S. Seshia
22
26
0
30 Jun 2020
Probabilistic Guarantees for Safe Deep Reinforcement Learning
Probabilistic Guarantees for Safe Deep Reinforcement Learning
E. Bacci
David Parker
13
27
0
14 May 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
234
1,837
0
03 Feb 2017
1