Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario
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Peter Vamplew | Richard Dazeley | Francisco Cruz | P. Vamplew | R. Dazeley | Francisco Cruz | Ithan Moreira | Richard Dazeley
[1] E. Vincent Cross,et al. Explaining robot actions , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[2] Anind K. Dey,et al. Why and why not explanations improve the intelligibility of context-aware intelligent systems , 2009, CHI.
[3] Jan Peters,et al. Reinforcement learning in robotics: A survey , 2013, Int. J. Robotics Res..
[4] Stephanie Rosenthal,et al. Visual Explanations for Convolutional Neural Networks via Input Resampling , 2017, ArXiv.
[5] Stefan Wermter,et al. Improving interactive reinforcement learning: What makes a good teacher? , 2018, Connect. Sci..
[6] Alan Fern,et al. Strategic Tasks for Explainable Reinforcement Learning , 2019, AAAI.
[7] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[8] Amina Adadi,et al. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) , 2018, IEEE Access.
[9] Davide Calvaresi,et al. Explainable Agents and Robots: Results from a Systematic Literature Review , 2019, AAMAS.
[10] Eric Yeh,et al. Interestingness Elements for Explainable Reinforcement Learning through Introspection , 2019, IUI Workshops.
[11] Kevin Li,et al. Evaluating Effects of User Experience and System Transparency on Trust in Automation , 2017, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.
[12] Richard Socher,et al. Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning , 2017, ICLR.
[13] Maria Fox,et al. Explainable Planning , 2017, ArXiv.
[14] E. Thorndike. Animal Intelligence; Experimental Studies , 2009 .
[15] Avi Rosenfeld,et al. Explainability in human–agent systems , 2019, Autonomous Agents and Multi-Agent Systems.
[16] Andrew Y. Ng,et al. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping , 1999, ICML.
[17] Tom Schaul,et al. StarCraft II: A New Challenge for Reinforcement Learning , 2017, ArXiv.
[18] Gonzalo Acuña Leiva,et al. Indirect Training with Error Backpropagation in Gray-Box Neural Model: Application to a Chemical Process , 2010, 2010 XXIX International Conference of the Chilean Computer Science Society.
[19] Jonathan Dodge,et al. Visualizing and Understanding Atari Agents , 2017, ICML.
[20] Dawn M. Tilbury,et al. Explanations and Expectations: Trust Building in Automated Vehicles , 2018, HRI.
[21] Maartje M. A. de Graaf,et al. How People Explain Action (and Autonomous Intelligent Systems Should Too) , 2017, AAAI Fall Symposia.
[22] Katia P. Sycara,et al. Transparency and Explanation in Deep Reinforcement Learning Neural Networks , 2018, AIES.
[23] Tim Miller,et al. Explanation in Artificial Intelligence: Insights from the Social Sciences , 2017, Artif. Intell..
[24] Howard C. Warren. Mental association from Plato to Hume. , 1916 .
[25] David V. Pynadath,et al. Building Trust in a Human-Robot Team with Automatically Generated Explanations , 2015 .
[26] Ning Wang,et al. Trust calibration within a human-robot team: Comparing automatically generated explanations , 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[27] Tim Miller,et al. Explainable Reinforcement Learning Through a Causal Lens , 2019, AAAI.
[28] Alessandra Sciutti,et al. Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game , 2020, 2020 25th International Conference on Pattern Recognition (ICPR).
[29] Raymond Sheh,et al. "Why Did You Do That?" Explainable Intelligent Robots , 2017, AAAI Workshops.
[30] Abhinav Verma,et al. Programmatically Interpretable Reinforcement Learning , 2018, ICML.
[31] David Garlan,et al. Toward Explainable Multi-Objective Probabilistic Planning , 2018, 2018 IEEE/ACM 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS).
[32] Andrew Anderson,et al. Explaining Reinforcement Learning to Mere Mortals: An Empirical Study , 2019, IJCAI.
[33] Nikhil Churamani,et al. iCub: Learning Emotion Expressions using Human Reward , 2020, ArXiv.
[34] Liz Sonenberg,et al. Distal Explanations for Explainable Reinforcement Learning Agents , 2020, ArXiv.
[35] Katia P. Sycara,et al. Object-sensitive Deep Reinforcement Learning , 2017, GCAI.
[36] Xing Xie,et al. A Reinforcement Learning Framework for Explainable Recommendation , 2018, 2018 IEEE International Conference on Data Mining (ICDM).
[37] N. Daw,et al. Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework , 2017, Annual review of psychology.
[38] Liz Sonenberg,et al. Distal Explanations for Model-free Explainable Reinforcement Learning , 2020 .
[39] Jessie Y. C. Chen,et al. The influence of modality and transparency on trust in human-robot interaction , 2014, 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA).
[40] A. Cangelosi,et al. Developmental Robotics: From Babies to Robots , 2015 .
[41] Thomas A. Runkler,et al. Interpretable Policies for Reinforcement Learning by Genetic Programming , 2017, Eng. Appl. Artif. Intell..
[42] Bradley Hayes,et al. Improving Human-Robot Interaction Through Explainable Reinforcement Learning , 2019, 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[43] Surya P. N. Singh,et al. V-REP: A versatile and scalable robot simulation framework , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[44] Danilo Bassi,et al. Indirect Training of Grey-Box Models: Application to a Bioprocess , 2007, ISNN.
[45] Pedro Sequeira,et al. Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations , 2019, Artif. Intell..
[46] H. Pfister,et al. How people explain their own and others’ behavior: a theory of lay causal explanations , 2015, Front. Psychol..
[47] I. Pavlov. Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex , 1929 .
[48] Eric M. S. P. Veith,et al. Explainable Reinforcement Learning: A Survey , 2020, CD-MAKE.
[49] Peter Vamplew,et al. Memory-Based Explainable Reinforcement Learning , 2019, Australasian Conference on Artificial Intelligence.
[50] Wojciech Jaskowski,et al. ViZDoom: A Doom-based AI research platform for visual reinforcement learning , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[51] Stefan Wermter,et al. Explainable Goal-driven Agents and Robots - A Comprehensive Review , 2020, ACM Comput. Surv..
[52] Gabriel Dulac-Arnold,et al. Challenges of Real-World Reinforcement Learning , 2019, ArXiv.
[53] Trevor Darrell,et al. Generating Visual Explanations , 2016, ECCV.
[54] Pat Langley,et al. Explainable Agency for Intelligent Autonomous Systems , 2017, AAAI.