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On the (In)Tractability of Reinforcement Learning for LTL Objectives
24 November 2021
Cambridge Yang
Michael Littman
Michael Carbin
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Papers citing
"On the (In)Tractability of Reinforcement Learning for LTL Objectives"
10 / 10 papers shown
Title
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
Sanjit A. Seshia
OffRL
148
0
0
06 Mar 2025
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
Sanjit A. Seshia
AI4CE
125
6
0
31 Oct 2024
LTL-Constrained Policy Optimization with Cycle Experience Replay
Ameesh Shah
Cameron Voloshin
Chenxi Yang
Abhinav Verma
Swarat Chaudhuri
Sanjit A. Seshia
131
1
0
17 Apr 2024
Mungojerrie: Reinforcement Learning of Linear-Time Objectives
E. M. Hahn
Mateo Perez
S. Schewe
Fabio Somenzi
Ashutosh Trivedi
D. Wojtczak
64
10
0
16 Jun 2021
A Composable Specification Language for Reinforcement Learning Tasks
Kishor Jothimurugan
Rajeev Alur
Osbert Bastani
76
87
0
21 Aug 2020
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
A. Bozkurt
Yu Wang
Michael M. Zavlanos
Miroslav Pajic
59
126
0
16 Sep 2019
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
123
152
0
11 Sep 2019
Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications
Giuseppe De Giacomo
Luca Iocchi
Marco Favorito
F. Patrizi
OffRL
69
124
0
17 Jul 2018
Environment-Independent Task Specifications via GLTL
Michael L. Littman
Ufuk Topcu
Jie Fu
Charles Isbell
Min Wen
J. MacGlashan
63
146
0
14 Apr 2017
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints
Jie Fu
Ufuk Topcu
82
178
0
28 Apr 2014
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