A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

12 November 2022

Papers citing "A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges"

7 / 7 papers shown

Title
Improving Policy Learning via Language Dynamics Distillation Victor Zhong Jesse Mu Luke Zettlemoyer Edward Grefenstette Tim Rocktaschel OffRL 32 15 0 30 Sep 2022
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 74 13 0 25 May 2022
LISA: Learning Interpretable Skill Abstractions from Language Divyansh Garg Skanda Vaidyanath Kuno Kim Jiaming Song Stefano Ermon LM&Ro OffRL 133 29 0 28 Feb 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four S. Wäldchen Felix Huber S. Pokutta FAtt 15 8 0 23 Feb 2022
AutoPreview: A Framework for Autopilot Behavior Understanding Yuan Shen Niviru Wijayaratne Peter Du Shanduojiao Jiang Katherine Driggs Campbell 13 8 0 25 Feb 2021
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 118 919 0 07 Jul 2017
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies D. Hein A. Hentschel Thomas Runkler Steffen Udluft OffRL 18 78 0 19 Oct 2016