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An Inductive Synthesis Framework for Verifiable Reinforcement Learning

An Inductive Synthesis Framework for Verifiable Reinforcement Learning

16 July 2019
He Zhu
Zikang Xiong
Stephen Magill
Suresh Jagannathan
ArXivPDFHTML

Papers citing "An Inductive Synthesis Framework for Verifiable Reinforcement Learning"

13 / 13 papers shown
Title
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
26
0
0
05 Jun 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu
Chan-Hung Yu
Wei-Hsu Lee
Cheng-Wei Hung
Yen-Chun Chen
Shao-Hua Sun
53
4
0
26 May 2024
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based
  Robot Navigation
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
Aaron M. Roth
Jing Liang
Ram D. Sriram
Elham Tabassi
Dinesh Manocha
19
1
0
19 Sep 2022
Programmatic Reward Design by Example
Programmatic Reward Design by Example
Weichao Zhou
Wenchao Li
18
15
0
14 Dec 2021
A Survey on AI Assurance
A Survey on AI Assurance
Feras A. Batarseh
Laura J. Freeman
27
65
0
15 Nov 2021
Learning Density Distribution of Reachable States for Autonomous Systems
Learning Density Distribution of Reachable States for Autonomous Systems
Yue Meng
Dawei Sun
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
64
19
0
14 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
9
71
0
31 Aug 2021
Scalable Synthesis of Verified Controllers in Deep Reinforcement
  Learning
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning
Zikang Xiong
Suresh Jagannathan
19
6
0
20 Apr 2021
NNV: The Neural Network Verification Tool for Deep Neural Networks and
  Learning-Enabled Cyber-Physical Systems
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
Hoang-Dung Tran
Xiaodong Yang
Diego Manzanas Lopez
Patrick Musau
L. V. Nguyen
Weiming Xiang
Stanley Bak
Taylor T. Johnson
27
237
0
12 Apr 2020
ART: Abstraction Refinement-Guided Training for Provably Correct Neural
  Networks
ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks
Xuankang Lin
He Zhu
R. Samanta
Suresh Jagannathan
AAML
25
28
0
17 Jul 2019
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
226
1,835
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
931
0
21 Oct 2016
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
70
308
0
22 May 2012
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