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Reinforcement Learning With Temporal Logic Rewards

Reinforcement Learning With Temporal Logic Rewards

11 December 2016
Xiao Li
C. Vasile
C. Belta
ArXivPDFHTML

Papers citing "Reinforcement Learning With Temporal Logic Rewards"

50 / 50 papers shown
Title
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
Yue Meng
Chuchu Fan
40
0
0
01 May 2025
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu
Arshia Rafieioskouei
Borzoo Bonakdarpour
41
0
0
07 Apr 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic
B. Mabsout
Abdelrahman AbdelGawad
R. Mancuso
48
1
0
04 Mar 2025
Diverse Controllable Diffusion Policy with Signal Temporal Logic
Yue Meng
Chuchu fan
55
2
0
04 Mar 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Zijian Guo
Weichao Zhou
Wenchao Li
OffRL
105
2
0
28 Jan 2025
Adaptive Reward Design for Reinforcement Learning
Adaptive Reward Design for Reinforcement Learning
Minjae Kwon
Ingy Elsayed-Aly
Lu Feng
75
2
0
14 Dec 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
S. Seshia
AI4CE
59
5
0
31 Oct 2024
Three Dogmas of Reinforcement Learning
Three Dogmas of Reinforcement Learning
David Abel
Mark K. Ho
Anna Harutyunyan
43
5
0
15 Jul 2024
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
43
0
0
05 Jun 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li
Zizhao Chen
Toryn Q. Klassen
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
55
7
0
31 May 2024
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
S. Seshia
31
1
0
17 Apr 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems:
  Developments and Challenges
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges
Xiang Yin
Bingzhao Gao
Xiao Yu
41
18
0
20 Feb 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
FAtt
LRM
56
1
0
29 Sep 2023
Signal Temporal Logic Neural Predictive Control
Signal Temporal Logic Neural Predictive Control
Yue Meng
Chuchu Fan
23
15
0
10 Sep 2023
Counterfactuals Modulo Temporal Logics
Counterfactuals Modulo Temporal Logics
Bernd Finkbeiner
Julian Siber
15
6
0
15 Jun 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Cevahir Köprülü
Ufuk Topcu
26
3
0
25 May 2023
Sample Efficient Model-free Reinforcement Learning from LTL
  Specifications with Optimality Guarantees
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Daqian Shao
Marta Kwiatkowska
OffRL
29
7
0
02 May 2023
Fulfilling Formal Specifications ASAP by Model-free Reinforcement
  Learning
Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning
Mengyu Liu
Pengyuan Lu
Xin Chen
Fanxin Kong
O. Sokolsky
Insup Lee
31
3
0
25 Apr 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRL
LRM
55
7
0
24 Apr 2023
Constrained Exploration in Reinforcement Learning with Optimality
  Preservation
Constrained Exploration in Reinforcement Learning with Optimality Preservation
Peter C. Y. Chen
13
0
0
05 Apr 2023
Funnel-based Reward Shaping for Signal Temporal Logic Tasks in
  Reinforcement Learning
Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning
Naman Saxena
Sandeep Gorantla
Pushpak Jagtap
42
4
0
30 Nov 2022
Safe Policy Improvement in Constrained Markov Decision Processes
Safe Policy Improvement in Constrained Markov Decision Processes
Luigi Berducci
Radu Grosu
OffRL
36
2
0
20 Oct 2022
Risk-Awareness in Learning Neural Controllers for Temporal Logic
  Objectives
Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives
Navid Hashemi
Xin Qin
Jyotirmoy V. Deshmukh
Georgios Fainekos
Bardh Hoxha
Danil Prokhorov
Tomoya Yamaguchi
30
8
0
14 Oct 2022
Movement Analytics: Current Status, Application to Manufacturing, and
  Future Prospects from an AI Perspective
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
Peter Baumgartner
Daniel V. Smith
Mashud Rana
Reena Kapoor
Elena Tartaglia
A. Schutt
Ashfaqur Rahman
John Taylor
S. Dunstall
29
4
0
04 Oct 2022
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic
  Constraints
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints
Akshay Dhonthi
Philipp Schillinger
Leonel Rozo
Daniele Nardi
41
7
0
07 Sep 2022
Joint Learning of Reward Machines and Policies in Environments with
  Partially Known Semantics
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics
Christos K. Verginis
Cevahir Köprülü
Sandeep Chinchali
Ufuk Topcu
33
10
0
20 Apr 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances
Possibility Before Utility: Learning And Using Hierarchical Affordances
Robby Costales
Shariq Iqbal
Fei Sha
31
5
0
23 Mar 2022
Distributed Control using Reinforcement Learning with
  Temporal-Logic-Based Reward Shaping
Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping
Ningyuan Zhang
Wenliang Liu
C. Belta
25
2
0
08 Mar 2022
Programmatic Reward Design by Example
Programmatic Reward Design by Example
Weichao Zhou
Wenchao Li
34
15
0
14 Dec 2021
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward
  Machines
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines
Xuejing Zheng
Chao Yu
Chong Chen
Jianye Hao
H. Zhuo
CLL
OffRL
25
9
0
18 Nov 2021
Learning Finite Linear Temporal Logic Specifications with a Specialized
  Neural Operator
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
Homer Walke
Daniel Ritter
Carl Trimbach
Michael Littman
NAI
AI4CE
37
6
0
07 Nov 2021
On the Expressivity of Markov Reward
On the Expressivity of Markov Reward
David Abel
Will Dabney
Anna Harutyunyan
Mark K. Ho
Michael L. Littman
Doina Precup
Satinder Singh
29
82
0
01 Nov 2021
Deep Reinforcement Learning Based Networked Control with Network Delays
  for Signal Temporal Logic Specifications
Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications
Junya Ikemoto
T. Ushio
29
3
0
03 Aug 2021
Supervised Bayesian Specification Inference from Demonstrations
Supervised Bayesian Specification Inference from Demonstrations
Ankit J. Shah
Pritish Kamath
Shen Li
Patrick L. Craven
Kevin J. Landers
Kevin B. Oden
J. Shah
27
3
0
06 Jul 2021
Compositional Reinforcement Learning from Logical Specifications
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
CoGe
30
78
0
25 Jun 2021
Learning from Demonstrations using Signal Temporal Logic
Learning from Demonstrations using Signal Temporal Logic
Aniruddh Gopinath Puranic
Jyotirmoy V. Deshmukh
Stefanos Nikolaidis
40
25
0
15 Feb 2021
Multi-Agent Reinforcement Learning with Temporal Logic Specifications
Multi-Agent Reinforcement Learning with Temporal Logic Specifications
Lewis Hammond
Alessandro Abate
Julian Gutierrez
Michael Wooldridge
AI4CE
44
32
0
01 Feb 2021
Embedding Symbolic Temporal Knowledge into Deep Sequential Models
Embedding Symbolic Temporal Knowledge into Deep Sequential Models
Yaqi Xie
Fan Zhou
Harold Soh
AI4CE
21
19
0
28 Jan 2021
Model-based Reinforcement Learning from Signal Temporal Logic
  Specifications
Model-based Reinforcement Learning from Signal Temporal Logic Specifications
Parv Kapoor
Anand Balakrishnan
Jyotirmoy V. Deshmukh
29
22
0
10 Nov 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement
  Learning
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte
Toryn Q. Klassen
Richard Valenzano
Sheila A. McIlraith
OffRL
46
216
0
06 Oct 2020
A Composable Specification Language for Reinforcement Learning Tasks
A Composable Specification Language for Reinforcement Learning Tasks
Kishor Jothimurugan
Rajeev Alur
Osbert Bastani
22
86
0
21 Aug 2020
Active Finite Reward Automaton Inference and Reinforcement Learning
  Using Queries and Counterexamples
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
Zhe Xu
Bo Wu
Aditya Ojha
Daniel Neider
Ufuk Topcu
OffRL
25
30
0
28 Jun 2020
Reinforcement Learning with Non-Markovian Rewards
Reinforcement Learning with Non-Markovian Rewards
Maor Gaon
Ronen I. Brafman
OffRL
46
76
0
05 Dec 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
13
124
0
16 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement
  Learning
Joint Inference of Reward Machines and Policies for Reinforcement Learning
Zhe Xu
I. Gavran
Yousef Ahmad
R. Majumdar
Daniel Neider
Ufuk Topcu
Bo Wu
30
92
0
12 Sep 2019
Transfer of Temporal Logic Formulas in Reinforcement Learning
Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu
Ufuk Topcu
13
52
0
10 Sep 2019
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
24
53
0
02 Feb 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
15
145
0
26 Sep 2018
Logically-Constrained Reinforcement Learning
Logically-Constrained Reinforcement Learning
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
13
82
0
24 Jan 2018
A Policy Search Method For Temporal Logic Specified Reinforcement
  Learning Tasks
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks
Xiao Li
Yao Ma
C. Belta
24
59
0
27 Sep 2017
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