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CDT: Cascading Decision Trees for Explainable Reinforcement Learning
v1v2 (latest)

CDT: Cascading Decision Trees for Explainable Reinforcement Learning

15 November 2020
Zihan Ding
Pablo Hernandez-Leal
G. Ding
Changjian Li
Ruitong Huang
ArXiv (abs)PDFHTML

Papers citing "CDT: Cascading Decision Trees for Explainable Reinforcement Learning"

10 / 10 papers shown
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for
  Long-Horizon Control Tasks
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control TasksAAAI Conference on Artificial Intelligence (AAAI), 2024
Yongyan Wen
Siyuan Li
Rongchang Zuo
Lei Yuan
Hangyu Mao
P. Liu
475
1
0
19 Nov 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean
  Metric Space
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric SpaceNeural Information Processing Systems (NeurIPS), 2024
Jingdi Chen
Hanhan Zhou
Yongsheng Mei
Carlee Joe-Wong
Gina Adam
Nathaniel D. Bastian
Tian-Shing Lan
OffRL
253
3
0
21 Oct 2024
Vanilla Gradient Descent for Oblique Decision Trees
Vanilla Gradient Descent for Oblique Decision TreesEuropean Conference on Artificial Intelligence (ECAI), 2024
Subrat Prasad Panda
B. Genest
Arvind Easwaran
Ponnuthurai Nagaratnam Suganthan
OffRL
356
3
0
17 Aug 2024
Three Pathways to Neurosymbolic Reinforcement Learning with
  Interpretable Model and Policy Networks
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Peter Graf
Patrick Emami
211
3
0
07 Feb 2024
Consistency Models as a Rich and Efficient Policy Class for
  Reinforcement Learning
Consistency Models as a Rich and Efficient Policy Class for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Daoce Wang
Chi Jin
OffRLDiffM
364
67
0
29 Sep 2023
Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU
  Networks
Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU Networks
S. Orfanos
Levi H. S. Lelis
222
6
0
04 Aug 2023
Can Differentiable Decision Trees Enable Interpretable Reward Learning
  from Human Feedback?
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?
Basavasagar Patil
Daniel S. Brown
505
0
0
22 Jun 2023
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision TreesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
661
13
0
15 Sep 2022
Explainability in Deep Reinforcement Learning, a Review into Current
  Methods and Applications
Explainability in Deep Reinforcement Learning, a Review into Current Methods and ApplicationsACM Computing Surveys (ACM CSUR), 2022
Tom Hickling
Abdelhafid Zenati
Nabil Aouf
P. Spencer
XAIAI4TS
420
45
0
05 Jul 2022
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
POETREE: Interpretable Policy Learning with Adaptive Decision TreesInternational Conference on Learning Representations (ICLR), 2022
Alizée Pace
Alex J. Chan
M. Schaar
OffRL
243
18
0
15 Mar 2022
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