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Enabling MCTS Explainability for Sequential Planning Through Computation
  Tree Logic

Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic

15 July 2024
Ziyan An
Hendrik Baier
Abhishek Dubey
Ayan Mukhopadhyay
Meiyi Ma
    LRM
ArXivPDFHTML

Papers citing "Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic"

4 / 4 papers shown
Title
Combining LLMs with Logic-Based Framework to Explain MCTS
Combining LLMs with Logic-Based Framework to Explain MCTS
Ziyan An
Xia Wang
Hendrik Baier
Zirong Chen
A. Dubey
Taylor T. Johnson
Jonathan Sprinkle
Ayan Mukhopadhyay
Meiyi Ma
26
1
0
01 May 2025
RuAG: Learned-rule-augmented Generation for Large Language Models
RuAG: Learned-rule-augmented Generation for Large Language Models
Yudi Zhang
Pei Xiao
Lu Wang
C. Zhang
Meng Fang
...
Qingwei Lin
Mykola Pechenizkiy
Dongmei Zhang
Saravan Rajmohan
Qi Zhang
LRM
38
0
0
04 Nov 2024
Algorithmic Concept-based Explainable Reasoning
Algorithmic Concept-based Explainable Reasoning
Dobrik Georgiev
Pietro Barbiero
Dmitry Kazhdan
Petar Velivcković
Pietro Lió
61
16
0
15 Jul 2021
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for
  Sequential Decision-Making Problems with Inscrutable Representations
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
61
29
0
04 Feb 2020
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