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Cautious Reinforcement Learning with Logical Constraints

Cautious Reinforcement Learning with Logical Constraints

26 February 2020
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
ArXivPDFHTML

Papers citing "Cautious Reinforcement Learning with Logical Constraints"

19 / 19 papers shown
Title
Shielded Reinforcement Learning for Hybrid Systems
Shielded Reinforcement Learning for Hybrid Systems
Asger Horn Brorholt
P. G. Jensen
Kim G. Larsen
Florian Lorber
Christian Schilling
23
4
0
28 Aug 2023
Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints
  with Time Windows
Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows
Xiaoshan Lin
Abbasali Koochakzadeh
Yasin Yazıcıoğlu
Derya Aksaray
26
1
0
29 Jul 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
11
0
0
05 Apr 2023
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic
  Environments
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments
Hongyi Chen
Changliu Liu
OffRL
27
14
0
24 Mar 2023
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying
  Temporal Logic Specifications in Continuous Action Spaces
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces
Hanna Krasowski
Prithvi Akella
Aaron D. Ames
Matthias Althoff
34
2
0
12 Dec 2022
Online Shielding for Reinforcement Learning
Online Shielding for Reinforcement Learning
Bettina Könighofer
Julian Rudolf
Alexander Palmisano
Martin Tappler
Roderick Bloem
OffRL
14
21
0
04 Dec 2022
Learning Control Policies for Stochastic Systems with Reach-avoid
  Guarantees
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees
Dorde Zikelic
Mathias Lechner
T. Henzinger
K. Chatterjee
24
22
0
11 Oct 2022
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement
  Learning
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
28
15
0
21 Sep 2022
Dynamic Shielding for Reinforcement Learning in Black-Box Environments
Dynamic Shielding for Reinforcement Learning in Black-Box Environments
Masaki Waga
Ezequiel Castellano
Sasinee Pruekprasert
Stefan Klikovits
Toru Takisaka
I. Hasuo
23
8
0
27 Jul 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
117
241
0
20 May 2022
Safe Reinforcement Learning via Shielding under Partial Observability
Safe Reinforcement Learning via Shielding under Partial Observability
Steven Carr
N. Jansen
Sebastian Junges
Ufuk Topcu
19
45
0
02 Apr 2022
Safe Reinforcement Learning for Legged Locomotion
Safe Reinforcement Learning for Legged Locomotion
Tsung-Yen Yang
Tingnan Zhang
Linda Luu
Sehoon Ha
Jie Tan
Wenhao Yu
29
40
0
05 Mar 2022
Modular Deep Reinforcement Learning for Continuous Motion Planning with
  Temporal Logic
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
Mingyu Cai
Mohammadhosein Hasanbeig
Shaoping Xiao
Alessandro Abate
Z. Kan
80
86
0
24 Feb 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
44
216
0
06 Oct 2020
Enforcing Almost-Sure Reachability in POMDPs
Enforcing Almost-Sure Reachability in POMDPs
Sebastian Junges
N. Jansen
S. Seshia
30
26
0
30 Jun 2020
Synthesizing Safe Policies under Probabilistic Constraints with
  Reinforcement Learning and Bayesian Model Checking
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking
Lenz Belzner
M. Wirsing
14
4
0
08 May 2020
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
21
53
0
02 Feb 2019
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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