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. 2309.01038
  4. Cited By
Neurosymbolic Reinforcement Learning and Planning: A Survey

Neurosymbolic Reinforcement Learning and Planning: A Survey

2 September 2023
Kamal Acharya
Waleed Raza
Carlos Dourado
Alvaro Velasquez
Houbing Song
    NAI
    OffRL
ArXivPDFHTML

Papers citing "Neurosymbolic Reinforcement Learning and Planning: A Survey"

19 / 19 papers shown
Title
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
Ahsan Bilal
Muhammad Ahmed Mohsin
Muhammad Umer
Muhammad Awais Khan Bangash
Muhammad Ali Jamshed
LLMAG
LRM
AI4CE
47
0
0
20 Apr 2025
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
Leon Keller
Daniel Tanneberg
Jan Peters
49
0
0
27 Mar 2025
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Kevin Alcedo
Pedro U. Lima
Rachid Alami
62
0
0
26 Mar 2025
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation
Pierrick Lorang
Hong Lu
Matthias Scheutz
41
0
0
06 Mar 2025
MARS: A neurosymbolic approach for interpretable drug discovery
MARS: A neurosymbolic approach for interpretable drug discovery
L. Delong
Yojana Gadiya
Paola Galdi
Jacques D. Fleuriot
Daniel Domingo-Fernández
28
2
0
02 Oct 2024
Neuro-Symbolic AI for Military Applications
Neuro-Symbolic AI for Military Applications
D. Hagos
D. Rawat
NAI
33
4
0
17 Aug 2024
On the use of neurosymbolic AI for defending against cyber attacks
On the use of neurosymbolic AI for defending against cyber attacks
G. Grov
Jonas Halvorsen
Magnus Wiik Eckhoff
Bjørn Jervell Hansen
Martin Eian
Vasileios Mavroeidis
AAML
NAI
25
0
0
09 Aug 2024
A Survey on Symbolic Knowledge Distillation of Large Language Models
A Survey on Symbolic Knowledge Distillation of Large Language Models
Kamal Acharya
Alvaro Velasquez
H. Song
SyDa
29
4
0
12 Jul 2024
RLSF: Reinforcement Learning via Symbolic Feedback
RLSF: Reinforcement Learning via Symbolic Feedback
Piyush Jha
Prithwish Jana
Arnav Arora
Vijay Ganesh
LRM
36
3
0
26 May 2024
A Survey on Verification and Validation, Testing and Evaluations of
  Neurosymbolic Artificial Intelligence
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence
Justus Renkhoff
Ke-ke Feng
Marc Meier-Doernberg
Alvaro Velasquez
Houbing Herbert Song
19
8
0
06 Jan 2024
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential
  Decision Making
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
Carlos Núnez-Molina
Pablo Mesejo
Juan Fernández-Olivares
26
3
0
20 Apr 2023
A Survey on Causal Reinforcement Learning
A Survey on Causal Reinforcement Learning
Yan Zeng
Ruichu Cai
Fuchun Sun
Libo Huang
Z. Hao
CML
26
25
0
10 Feb 2023
Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on
  Neuro-Symbolic Computing
Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing
Wenguan Wang
Yi Yang
Fei Wu
NAI
32
16
0
28 Oct 2022
Reinforcement Learning for Ridesharing: An Extended Survey
Reinforcement Learning for Ridesharing: An Extended Survey
Zhiwei Qin
Hongtu Zhu
Jieping Ye
32
83
0
03 May 2021
Reinforcement Learning for IoT Security: A Comprehensive Survey
Reinforcement Learning for IoT Security: A Comprehensive Survey
Aashma Uprety
D. Rawat
AAML
30
121
0
14 Feb 2021
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
57
287
0
10 Dec 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
169
1,877
0
02 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
40
221
0
24 Feb 2017
1