A Survey on Interpretable Reinforcement Learning

24 December 2021

Jianye Hao

Papers citing "A Survey on Interpretable Reinforcement Learning"

36 / 36 papers shown

Title
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping Jianfeng Xu AI4CE 35 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 120 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 64 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
Integrating Deep Learning with Logic Fusion for Information Extraction Wenya Wang Sinno Jialin Pan NAI 27 50 0 06 Dec 2019
Reinforcement Learning with Non-Markovian Rewards Maor Gaon Ronen I. Brafman OffRL 54 76 0 05 Dec 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 53 1,215 0 16 Oct 2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning Zhe Xu I. Gavran Yousef Ahmad R. Majumdar Daniel Neider Ufuk Topcu Bo Wu 32 92 0 12 Sep 2019
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 20 901 0 13 Aug 2019
Artificial Intelligence Governance and Ethics: Global Perspectives A. Daly Thilo Hagendorff L. Hui Monique Mann Vidushi Marda Ben Wagner Wei Wang Saskia Witteborn 32 49 0 28 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 37 289 0 12 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 32 351 0 11 Jun 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 53 357 0 27 May 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 97 249 0 26 Apr 2019
From explanation to synthesis: Compositional program induction for learning from demonstration Michael G. Burke Svetlin Penkov S. Ramamoorthy 36 20 0 27 Feb 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 68 1,307 0 26 Feb 2019
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 53 475 0 05 Dec 2018
Learning Finite State Representations of Recurrent Policy Networks Anurag Koul S. Greydanus Alan Fern 19 88 0 29 Nov 2018
Transparency and Explanation in Deep Reinforcement Learning Neural Networks R. Iyer Yuezhang Li Huao Li M. Lewis R. Sundar Katia Sycara 32 174 0 17 Sep 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 215 3,101 0 04 Jun 2018
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 88 597 0 04 Jun 2018
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 99 331 0 22 May 2018
Unsupervised Video Object Segmentation for Deep Reinforcement Learning Vikrant Goel James Weng Pascal Poupart OCL 39 66 0 20 May 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 47 140 0 20 Dec 2017
Interpretable Policies for Reinforcement Learning by Genetic Programming D. Hein Steffen Udluft Thomas Runkler OffRL 20 131 0 12 Dec 2017
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 85 482 0 13 Nov 2017
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 77 345 0 31 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 87 1,940 0 19 Sep 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 198 4,229 0 22 Jun 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 285 439 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 394 1,405 0 01 Dec 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 52 3,672 0 10 Jun 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 49 263 0 08 Feb 2016