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. 1807.06333
  4. Cited By
Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf
  restraining specifications

Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

17 July 2018
Giuseppe De Giacomo
Luca Iocchi
Marco Favorito
F. Patrizi
    OffRL
ArXivPDFHTML

Papers citing "Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications"

9 / 59 papers shown
Title
Online Learning of Non-Markovian Reward Models
Online Learning of Non-Markovian Reward Models
Gavin Rens
Jean-François Raskin
Raphaël Reynouad
G. Marra
OffRL
8
13
0
26 Sep 2020
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Nathan Hunt
Nathan Fulton
Sara Magliacane
Nghia Hoang
Subhro Das
Armando Solar-Lezama
OffRL
9
49
0
02 Jul 2020
Systematic Generalisation through Task Temporal Logic and Deep
  Reinforcement Learning
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
NAI
AI4CE
31
28
0
12 Jun 2020
Extended Markov Games to Learn Multiple Tasks in Multi-Agent
  Reinforcement Learning
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning
Borja G. Leon
Francesco Belardinelli
OffRL
28
17
0
14 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for
  Sequential Decision-Making Problems with Inscrutable Representations
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
76
30
0
04 Feb 2020
Learning Non-Markovian Reward Models in MDPs
Learning Non-Markovian Reward Models in MDPs
Gavin Rens
Jean-François Raskin
11
12
0
25 Jan 2020
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep
  Reinforcement Learning
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
Mohammadhosein Hasanbeig
N. Jeppu
Alessandro Abate
T. Melham
Daniel Kroening
13
20
0
22 Nov 2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications
Modular Deep Reinforcement Learning with Temporal Logic Specifications
Li-xin Yuan
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
OffRL
14
39
0
23 Sep 2019
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
8
124
0
16 Sep 2019
Previous
12