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Multi-Agent Reinforcement Learning with Temporal Logic Specifications

Multi-Agent Reinforcement Learning with Temporal Logic Specifications

1 February 2021
Lewis Hammond
Alessandro Abate
Julian Gutierrez
Michael Wooldridge
    AI4CE
ArXivPDFHTML

Papers citing "Multi-Agent Reinforcement Learning with Temporal Logic Specifications"

20 / 20 papers shown
Title
Three Dogmas of Reinforcement Learning
Three Dogmas of Reinforcement Learning
David Abel
Mark K. Ho
Anna Harutyunyan
53
5
0
15 Jul 2024
Logical Specifications-guided Dynamic Task Sampling for Reinforcement
  Learning Agents
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
Yash Shukla
Wenchang Gao
Vasanth Sarathy
Robert Wright
Alvaro Velasquez
Jivko Sinapov
26
0
0
06 Feb 2024
Assume-Guarantee Reinforcement Learning
Assume-Guarantee Reinforcement Learning
Milad Kazemi
Mateo Perez
Fabio Somenzi
Sadegh Soudjani
Ashutosh Trivedi
Alvaro Velasquez
OffRL
30
2
0
15 Dec 2023
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for
  Reinforcement Learning Agents
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents
Yash Shukla
Wenchang Gao
Vasanth Sarathy
Alvaro Velasquez
Robert Wright
Jivko Sinapov
53
9
0
14 Oct 2023
Multi-Agent Verification and Control with Probabilistic Model Checking
Multi-Agent Verification and Control with Probabilistic Model Checking
David Parker
13
3
0
05 Aug 2023
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic
  Specifications
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
Jiangwei Wang
Shuo Yang
Ziyan An
Songyang Han
Zhili Zhang
Rahul Mangharam
Meiyi Ma
Fei Miao
48
8
0
11 Jun 2023
Optimal Control of Logically Constrained Partially Observable and
  Multi-Agent Markov Decision Processes
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
K. C. Kalagarla
D. Kartik
Dongming Shen
R. Jain
A. Nayyar
Pierluigi Nuzzo
AI4CE
46
1
0
24 May 2023
Standpoint Linear Temporal Logic
Standpoint Linear Temporal Logic
N. Gigante
Lucía Gómez Álvarez
Tim S. Lyon
LRM
17
3
0
27 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
62
8
0
24 Apr 2023
CatlNet: Learning Communication and Coordination Policies from CaTL+
  Specifications
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications
Wenliang Liu
Kevin J. Leahy
Zachary Serlin
C. Belta
46
1
0
30 Nov 2022
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement
  Learning Systems
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems
Joe Eappen
Suresh Jagannathan
19
3
0
28 Jun 2022
Specification-Guided Learning of Nash Equilibria with High Social
  Welfare
Specification-Guided Learning of Nash Equilibria with High Social Welfare
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
44
9
0
06 Jun 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
38
2
0
08 Mar 2022
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
34
83
0
01 Nov 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following
  Temporal Specifications
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
AI4CE
31
15
0
18 Oct 2021
Compositional Reinforcement Learning from Logical Specifications
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
CoGe
51
78
0
25 Jun 2021
Model-Free Learning of Safe yet Effective Controllers
Model-Free Learning of Safe yet Effective Controllers
A. Bozkurt
Yu Wang
Miroslav Pajic
OffRL
29
7
0
26 Mar 2021
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
70
217
0
06 Oct 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
36
29
0
12 Jun 2020
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
47
54
0
02 Feb 2019
1