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. 2202.08434
  4. Cited By
A Survey of Explainable Reinforcement Learning

A Survey of Explainable Reinforcement Learning

17 February 2022
Stephanie Milani
Nicholay Topin
Manuela Veloso
Fei Fang
    XAI
    LRM
ArXivPDFHTML

Papers citing "A Survey of Explainable Reinforcement Learning"

7 / 7 papers shown
Title
Personalized Decision Supports based on Theory of Mind Modeling and
  Explainable Reinforcement Learning
Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning
Huao Li
Yao Fan
Keyang Zheng
Michael Lewis
Katia P. Sycara
25
0
0
13 Dec 2023
Explaining Agent's Decision-making in a Hierarchical Reinforcement
  Learning Scenario
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario
Hugo Munoz
Ernesto Portugal
Angel Ayala
Bruno José Torres Fernandes
Francisco Cruz
21
0
0
14 Dec 2022
Experiential Explanations for Reinforcement Learning
Experiential Explanations for Reinforcement Learning
Amal Alabdulkarim
Madhuri Singh
Gennie Mansi
Kaely Hall
Mark O. Riedl
Mark O. Riedl
OffRL
36
2
0
10 Oct 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent
  Reinforcement Learning
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Stephanie Milani
Zhicheng Zhang
Nicholay Topin
Z. Shi
Charles A. Kamhoua
Evangelos E. Papalexakis
Fei Fang
OffRL
76
13
0
25 May 2022
Interpretable Off-Policy Evaluation in Reinforcement Learning by
  Highlighting Influential Transitions
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman
Joseph D. Futoma
Yao Liu
Soanli Parbhoo
L. A. Celi
Emma Brunskill
Finale Doshi-Velez
OffRL
137
54
0
10 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
M. Tomizuka
45
224
0
23 Jan 2020
Particle Swarm Optimization for Generating Interpretable Fuzzy
  Reinforcement Learning Policies
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies
D. Hein
A. Hentschel
Thomas Runkler
Steffen Udluft
OffRL
28
78
0
19 Oct 2016
1