Towards Interpretable Reinforcement Learning Using Attention Augmented Agents

6 June 2019

Danilo Jimenez Rezende

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Papers citing "Towards Interpretable Reinforcement Learning Using Attention Augmented Agents"

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Title
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes Ashok Arora Neetesh Kumar 24 0 0 16 May 2025
Neuro-Symbolic Generation of Explanations for Robot Policies with Weighted Signal Temporal Logic Mikihisa Yuasa R. Sreenivas Huy T. Tran 40 0 0 30 Apr 2025
Revealing Covert Attention by Analyzing Human and Reinforcement Learning Agent Gameplay Henrik Krauss Takehisa Yairi OffRL 21 0 0 15 Apr 2025
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning Tien Pham Angelo Cangelosi 31 0 0 14 Apr 2025
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems Zhuoli Zhuang Cheng-You Lu Yu-Cheng Chang Yu-Kai Wang T. Do Chin-Teng Lin 33 0 0 08 Apr 2025
The Dual-Route Model of Induction Sheridan Feucht Eric Todd Byron C. Wallace David Bau 32 0 0 03 Apr 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 46 0 0 24 Feb 2025
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson Isaac Kauvar Nick Haber 75 0 0 08 Dec 2024
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games Liang Zhang Justin Lieffers A. Pyarelal 24 0 0 25 Sep 2024
An Introduction to Reinforcement Learning: Fundamental Concepts and Practical Applications Majid Ghasemi Amir Hossein Moosavi Ibrahim Sorkhoh Anjali Agrawal Fadi Alzhouri Dariush Ebrahimi OffRL 43 1 0 13 Aug 2024
Model-based Policy Optimization using Symbolic World Model Andrey Gorodetskiy Konstantin Mironov Aleksandr I. Panov 46 0 0 18 Jul 2024
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability Shuang Ao Simon Khan Haris Aziz Flora D. Salim 37 0 0 20 Jun 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences Takuya Hiraoka Guanquan Wang Takashi Onishi Yoshimasa Tsuruoka 45 0 0 23 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 39 6 0 11 Oct 2023
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks Victor Vadakechirayath George OffRL 11 0 0 04 Oct 2023
Interpretable Imitation Learning with Dynamic Causal Relations ianxiang Zhao Wenchao Yu Suhang Wang Lu Wang Xiang Zhang Yuncong Chen Yanchi Liu Wei Cheng Haifeng Chen CML 20 2 0 30 Sep 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao Safa Alver H. V. Seijen Romain Laroche Doina Precup Yoshua Bengio 15 3 0 30 Sep 2023
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective Muzhe Guo Feixu Yu Tian Lan Fang Jin OffRL LRM 11 0 0 09 Sep 2023
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning Qisen Yang Huanqian Wang Mukun Tong Wenjie Shi Gao Huang Shiji Song 29 5 0 04 Sep 2023
Learning to Identify Critical States for Reinforcement Learning from Videos Haozhe Liu Mingchen Zhuge Bing Li Yu‐Han Wang Francesco Faccio Guohao Li Jürgen Schmidhuber OffRL 28 6 0 15 Aug 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query Hidenori Itaya Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura OffRL 36 0 0 24 Jun 2023
Exploring the Promise and Limits of Real-Time Recurrent Learning Kazuki Irie Anand Gopalakrishnan Jürgen Schmidhuber 29 15 0 30 May 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 18 0 0 14 Mar 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 26 0 0 26 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 50 76 0 24 Jan 2023
XDQN: Inherently Interpretable DQN through Mimicking Andreas Kontogiannis G. Vouros 21 0 0 08 Jan 2023
Explainability Via Causal Self-Talk Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 26 7 0 17 Nov 2022
Deep Reinforcement Learning with Vector Quantized Encoding Liang Zhang Justin Lieffers A. Pyarelal OffRL 13 2 0 12 Nov 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 15 7 0 06 Nov 2022
On learning history based policies for controlling Markov decision processes Gandharv Patil Aditya Mahajan Doina Precup OffRL 21 5 0 06 Nov 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 39 4 0 24 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 38 26 0 10 Oct 2022
Towards self-attention based visual navigation in the real world Jaime Ruiz-Serra Jack White Stephen M. Petrie T. Kameneva C. McCarthy 28 0 0 15 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew M. Saxe Shagun Sodhani Sam Lewallen AI4CE 30 34 0 21 Jul 2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process Lukas Klein Mennatallah El-Assady Paul F. Jäger CML 11 1 0 11 Jul 2022
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL Kin-Ho Lam Delyar Tabatabai Jed Irvine Donald Bertucci Anita Ruangrotsakun Minsuk Kahng Alan Fern OffRL 23 1 0 04 Jun 2022
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning Kevin Esslinger Robert W. Platt Chris Amato OffRL 32 35 0 02 Jun 2022
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory Sam Blakeman D. Mareschal 21 3 0 18 May 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey Mohammed Hassanin Saeed Anwar Ibrahim Radwan Fahad Shahbaz Khan Ajmal Mian 29 145 0 16 Apr 2022
Policy Regularization for Legible Behavior Michele Persiani Thomas Hellström 9 3 0 08 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 36 9 0 23 Feb 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 22 52 0 17 Feb 2022
Local Explanations for Reinforcement Learning Ronny Luss Amit Dhurandhar Miao Liu FAtt OffRL 8 3 0 08 Feb 2022
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model Hamid Reza Mohammadi Ehsan Nazerfard 19 24 0 04 Feb 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 25 0 0 21 Jan 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning Sasha Salter Kristian Hartikainen Walter Goodwin Ingmar Posner OffRL 28 5 0 20 Jan 2022
Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference Hao Sun Taiyi A. Wang CML 13 5 0 02 Jan 2022