Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation

14 April 2019

Papers citing "Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation"

21 / 21 papers shown

Title
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning Ruiqi Zhang Dingqi Zhang Mark W. Mueller 120 1 0 20 Sep 2024
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems Rohan R. Paleja Michael Munje K. Chang Reed Jensen Matthew C. Gombolay 44 2 0 07 Jun 2024
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach Wenxing Liu Hanlin Niu Wei Pan G. Herrmann J. Carrasco 36 7 0 26 Feb 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis Joseph Campbell Simon Stepputtis Dana Hughes Katia P. Sycara 39 15 0 23 Feb 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 43 3 0 24 Jan 2023
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario Hugo Munoz Ernesto Portugal Angel Ayala Bruno José Torres Fernandes Francisco Cruz 26 0 0 14 Dec 2022
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks Altun Rzayev Vahid Tavakol Aghaei OffRL 21 0 0 11 Dec 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 24 7 0 06 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management Charl Maree C. Omlin 35 1 0 20 Apr 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 34 27 0 22 Mar 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 22 52 0 17 Feb 2022
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization Charl Maree C. Omlin 24 8 0 21 Jan 2022
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 29 65 0 15 Nov 2021
Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space Maximilian Ulmer Elie Aljalbout Sascha Schwarz Sami Haddadin 15 6 0 19 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 26 8 0 05 Oct 2021
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition Paul Festor Giulia Luise Matthieu Komorowski A. Faisal UD OffRL 20 10 0 16 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 16 100 0 24 Oct 2019