A Survey on Interpretable Reinforcement Learning

A Survey on Interpretable Reinforcement Learning

24 December 2021

Matthieu Zimmer

Jianye Hao

Papers citing "A Survey on Interpretable Reinforcement Learning"

10 / 10 papers shown

Title
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping Jianfeng Xu AI4CE 24 0 0 19 May 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 63 0 0 21 Feb 2025
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 114 2 0 13 Feb 2025
Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications Wataru Hatanaka R. Yamashina Takamitsu Matsubara 129 0 0 31 Jan 2025
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic Huaiyuan Yao Longchao Da Vishnu Nandam Justin Turnau Zhiwei Liu Linsey Pang Hua Wei LLMAG 75 6 0 10 Jan 2025
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 62 8 0 24 Apr 2023
Learning Physical Graph Representations from Visual Scenes Daniel M. Bear Chaofei Fan Damian Mrowca Yunzhu Li S. Alter ... Jeremy Schwartz Li Fei-Fei Jiajun Wu J. Tenenbaum Daniel L. K. Yamins SSL GNN SSeg AI4CE 62 79 0 22 Jun 2020
Joint Inference of Reward Machines and Policies for Reinforcement Learning Zhe Xu I. Gavran Yousef Ahmad R. Majumdar Daniel Neider Ufuk Topcu Bo Wu 30 92 0 12 Sep 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 79 249 0 26 Apr 2019
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 78 597 0 04 Jun 2018

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