Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning

20 December 2017

Papers citing "Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning"

50 / 88 papers shown

Title
The Latent Space Hypothesis: Toward Universal Medical Representation Learning Salil Patel 176 0 0 04 Jun 2025
Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning Alihan Hüyük Finale Doshi-Velez 96 0 0 22 May 2025
Model-Agnostic Policy Explanations with Large Language Models Zhang Xi-Jia Yue (Sophie) Guo Shufei Chen Simon Stepputtis Matthew C. Gombolay Katia Sycara Joseph Campbell LM&Ro LRM 120 1 0 08 Apr 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning Anthony Kobanda Rémy Portelas Odalric-Ambrym Maillard Ludovic Denoyer OffRL CLL 174 1 0 19 Dec 2024
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks Yongyan Wen Siyuan Li Rongchang Zuo Lei Yuan Hangyu Mao P. Liu 127 0 0 19 Nov 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 199 0 0 20 Jun 2024
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques Yu Xiong Zhipeng Hu Ye Huang Runze Wu Kai Guan ... Tianze Zhou Yujing Hu Haoyu Liu Tangjie Lyu Changjie Fan OffRL 130 2 0 20 Feb 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning Idan Achituve I. Diamant Arnon Netzer Gal Chechik Ethan Fetaya UQCV 81 7 0 06 Feb 2024
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LLMAG LM&Ro 59 1 0 29 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 171 4 0 06 Nov 2023
Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization Bang Giang Le Viet-Cuong Ta OT 76 1 0 27 Sep 2023
Explaining Agent Behavior with Large Language Models Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LM&Ro LLMAG 76 7 0 19 Sep 2023
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents Tejaswini Manjunath Mozhgan Navardi P. Dixit Bharat Prakash T. Mohsenin 42 8 0 17 Aug 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 78 10 0 15 Aug 2023
Improving Long-Horizon Imitation Through Instruction Prediction Joey Hejna Pieter Abbeel Lerrel Pinto 52 8 0 21 Jun 2023
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking Shengran Hu Jeff Clune LM&Ro OffRL LRM AI4CE 89 29 0 01 Jun 2023
End-to-End Policy Gradient Method for POMDPs and Explainable Agents Soichiro Nishimori Sotetsu Koyamada Shin Ishii 29 0 0 19 Apr 2023
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft Ziluo Ding Hao Luo Ke Li Junpeng Yue Tiejun Huang Zongqing Lu VLM 51 9 0 19 Mar 2023
Automated Cyber Defence: A Review Sanyam Vyas J. Hannay A. Bolton Pete Burnap 82 22 0 08 Mar 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Haichao Zhang Weiwen Xu Haonan Yu CLL OffRL OnRL 118 69 0 02 Feb 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 98 3 0 24 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 135 86 0 24 Jan 2023
Explaining Imitation Learning through Frames Boyuan Zheng Jianlong Zhou Chun-Hao Liu Yiqiao Li Fang Chen 57 0 0 03 Jan 2023
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios Niclas Schroeter Francisco Cruz S. Wermter 53 2 0 23 Nov 2022
Explainability Via Causal Self-Talk Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 87 7 0 17 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 81 1 0 12 Nov 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 60 7 0 06 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning Tom He Jasmina Gajcin Ivana Dusparic CML 71 5 0 02 Nov 2022
BITS: Bi-level Imitation for Traffic Simulation Danfei Xu Yuxiao Chen Boris Ivanovic Marco Pavone 108 85 0 26 Aug 2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker Ilge Akkaya Peter Zhokhov Joost Huizinga Jie Tang Adrien Ecoffet Brandon Houghton Raul Sampedro Jeff Clune OffRL 153 304 0 23 Jun 2022
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning Kushal Chauhan Soumya Chatterjee Akash Reddy Balaraman Ravindran Pradeep Shenoy 34 0 0 12 Jun 2022
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes Yishay Mansour Michal Moshkovitz Cynthia Rudin FAtt 60 3 0 09 Jun 2022
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022 Julia Kiseleva Alexey Skrynnik Artem Zholus Shrestha Mohanty Negar Arabzadeh ... Aleksandr I. Panov Yuxuan Sun Kavya Srinet Arthur Szlam Ahmed Hassan Awadallah LLMAG 59 21 0 27 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 99 15 0 20 May 2022
Conditional Visual Servoing for Multi-Step Tasks Sergio Izquierdo Max Argus Thomas Brox 70 4 0 17 May 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield CLL OffRL 55 1 0 16 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 75 6 0 06 May 2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021 Julia Kiseleva Ziming Li Mohammad Aliannejadi Shrestha Mohanty Maartje ter Hoeve ... I. Churin Putra Manggala Kata Naszádi Michiel van der Meer Taewoon Kim LLMAG 86 30 0 05 May 2022
Learning to Execute Actions or Ask Clarification Questions Zhengxiang Shi Yue Feng Aldo Lipani LM&Ro 69 45 0 18 Apr 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 92 27 0 22 Mar 2022
ASC me to Do Anything: Multi-task Training for Embodied AI Jiasen Lu Jordi Salvador Roozbeh Mottaghi Aniruddha Kembhavi 53 3 0 14 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 78 7 0 28 Jan 2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization Yihan Li Jinsheng Ren Tianrun Xu Tianren Zhang Haichuan Gao Feng Chen 47 1 0 26 Jan 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 79 0 0 21 Jan 2022
Self Reward Design with Fine-grained Interpretability Erico Tjoa G. Cuntai 39 1 0 30 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 106 105 0 24 Dec 2021
Inherently Explainable Reinforcement Learning in Natural Language Xiangyu Peng Mark O. Riedl Prithviraj Ammanabrolu LRM 52 21 0 16 Dec 2021
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges Shen Wang M. Qureshi Luis Miralles-Pechuán Thien Huynh-The Thippa Reddy Gadekallu Madhusanka Liyanage 65 24 0 09 Dec 2021
Guided Policy Search for Parameterized Skills using Adverbs Benjamin A. Spiegel George Konidaris 50 2 0 23 Oct 2021
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment Julia Kiseleva Ziming Li Mohammad Aliannejadi Shrestha Mohanty Maartje ter Hoeve ... Arthur Szlam Yuxuan Sun Katja Hofmann Michel Galley Ahmed Hassan Awadallah LLMAG 120 15 0 13 Oct 2021