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3,821
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Tools and Algorithms for the Construction and Analysis of Systems
Safety-Constrained Reinforcement Learning for MDPs
other
Author(s):
Sebastian Junges
,
Nils Jansen
,
Christian Dehnert
,
Ufuk Topcu
,
Joost-Pieter Katoen
Publication date
(Online):
April 09 2016
Publisher:
Springer Berlin Heidelberg
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Computer Vision, Deep Learning, Deep Reinforcement Learning, IoT
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Markov games as a framework for multi-agent reinforcement learning
Michael L. Littman
(1994)
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The ins and outs of the probabilistic model checker MRMC
David Jansen
,
Holger Hermanns
,
Ernst Hahn
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(2011)
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Reachability-based safe learning with Gaussian processes
Anayo Akametalu
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Jaime F. Fisac
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Jeremy H. Gillula
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(2014)
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Book Chapter
Publication date (Print):
2016
Publication date (Online):
April 09 2016
Pages
: 130-146
DOI:
10.1007/978-3-662-49674-9_8
SO-VID:
a815e435-a6e5-4706-9623-4f81e532ea1d
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Book chapters
pp. 244
Online and Compositional Learning of Controllers with Application to Floor Heating
pp. 573
Developing and Debugging Proof Strategies by Tinkering
pp. 908
CIVL: Applying a General Concurrency Verification Framework to C/Pthreads Programs (Competition Contribution)
pp. 130
Safety-Constrained Reinforcement Learning for MDPs
pp. 167
Abstract Learning Frameworks for Synthesis
pp. 186
Synthesizing Piece-Wise Functions by Learning Classifiers
pp. 204
An Automaton Learning Approach to Solving Safety Games over Infinite Graphs
pp. 480
Approaching the Coverability Problem Continuously
pp. 905
2LS for Program Analysis
pp. 938
MU-CSeq 0.4: Individual Memory Location Unwindings
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A Storm is Coming: A Modern Probabilistic Model Checker
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