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. 2405.14956
  4. Cited By
Interpretable and Editable Programmatic Tree Policies for Reinforcement
  Learning

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning

23 May 2024
Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
ArXivPDFHTML

Papers citing "Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning"

12 / 12 papers shown
Title
The Dual-Route Model of Induction
The Dual-Route Model of Induction
Sheridan Feucht
Eric Todd
Byron C. Wallace
David Bau
23
0
0
03 Apr 2025
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement
  Learning in Continuous Control Tasks
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Mátyás Vincze
Laura Ferrarotti
Leonardo Lucio Custode
Bruno Lepri
Giovanni Iacca
MoE
OffRL
61
1
0
17 Dec 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
27
2
0
18 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
D. Dhami
Kristian Kersting
33
3
0
15 Oct 2024
OCALM: Object-Centric Assessment with Language Models
OCALM: Object-Centric Assessment with Language Models
Timo Kaufmann
Jannis Blüml
Antonia Wüst
Quentin Delfosse
Kristian Kersting
Eyke Hüllermeier
LM&Ro
LRM
26
1
0
24 Jun 2024
EXPIL: Explanatory Predicate Invention for Learning in Games
EXPIL: Explanatory Predicate Invention for Learning in Games
Jingyuan Sha
Hikaru Shindo
Quentin Delfosse
Kristian Kersting
D. Dhami
22
1
0
10 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual
  Reinforcement Learning
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
Quentin Delfosse
Jannis Blüml
Bjarne Gregori
Kristian Kersting
26
7
0
06 Jun 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu
Chan-Hung Yu
Wei-Hsu Lee
Cheng-Wei Hung
Yen-Chun Chen
Shao-Hua Sun
46
3
0
26 May 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual
  Explanations
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
Lirui Luo
Guoxi Zhang
Hongming Xu
Yaodong Yang
Cong Fang
Qing Li
18
11
0
19 Mar 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
Antonia Wüst
Wolfgang Stammer
Quentin Delfosse
D. Dhami
Kristian Kersting
41
13
0
13 Feb 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
41
18
0
11 Jan 2024
Model Interpretability through the Lens of Computational Complexity
Model Interpretability through the Lens of Computational Complexity
Pablo Barceló
Mikaël Monet
Jorge A. Pérez
Bernardo Subercaseaux
114
93
0
23 Oct 2020
1