ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.04669
  4. Cited By
Reinforcement Learning of Control Policy for Linear Temporal Logic
  Specifications Using Limit-Deterministic Generalized Büchi Automata
v1v2v3 (latest)

Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Generalized Büchi Automata

14 January 2020
Ryohei Oura
Ami Sakakibara
T. Ushio
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Generalized Büchi Automata"

6 / 6 papers shown
Title
LTL-Constrained Policy Optimization with Cycle Experience Replay
LTL-Constrained Policy Optimization with Cycle Experience Replay
Ameesh Shah
Cameron Voloshin
Chenxi Yang
Abhinav Verma
Swarat Chaudhuri
Sanjit A. Seshia
118
1
0
17 Apr 2024
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
Mikihisa Yuasa
Huy T. Tran
R. Sreenivas
FAttLRM
120
1
0
29 Sep 2023
Control Synthesis from Linear Temporal Logic Specifications using
  Model-Free Reinforcement Learning
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
A. Bozkurt
Yu Wang
Michael M. Zavlanos
Miroslav Pajic
56
126
0
16 Sep 2019
Reinforcement Learning for Temporal Logic Control Synthesis with
  Probabilistic Satisfaction Guarantees
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
Mohammadhosein Hasanbeig
Y. Kantaros
Alessandro Abate
Daniel Kroening
George J. Pappas
Insup Lee
AI4CE
115
152
0
11 Sep 2019
Omega-Regular Objectives in Model-Free Reinforcement Learning
Omega-Regular Objectives in Model-Free Reinforcement Learning
E. M. Hahn
Mateo Perez
S. Schewe
Fabio Somenzi
Ashutosh Trivedi
D. Wojtczak
115
149
0
26 Sep 2018
Logically-Constrained Reinforcement Learning
Logically-Constrained Reinforcement Learning
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
56
82
0
24 Jan 2018
1