Language as an Abstraction for Hierarchical Deep Reinforcement Learning

18 June 2019

Papers citing "Language as an Abstraction for Hierarchical Deep Reinforcement Learning"

28 / 28 papers shown

Title
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning Beyazit Yalcinkaya Niklas Lauffer Marcell Vazquez-Chanlatte S. Seshia AI4CE 47 5 0 31 Oct 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 48 1 0 21 Aug 2024
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions Shumaila Javaid R. A. Khalil Nasir Saeed Bin He Mohamed-Slim Alouini 32 9 0 05 Jul 2024
Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Planning Case Study Shangding Gu LLMAG 35 0 0 12 Jan 2024
A Survey on Multimodal Large Language Models for Autonomous Driving Can Cui Yunsheng Ma Xu Cao Wenqian Ye Yang Zhou ... Xinrui Yan Shuqi Mei Jianguo Cao Ziran Wang Chao Zheng 38 249 0 21 Nov 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes Rainer Schlosser R. Herbrich 16 4 0 08 Oct 2023
OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language Jia Huang Mengxue Hou Junkai Wang Fumin Zhang 25 5 0 27 Sep 2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language Zhourui Guo Meng Yao Yang Yu Qiyue Yin OnRL 21 1 0 21 Sep 2023
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking Shengran Hu Jeff Clune LM&Ro OffRL LRM AI4CE 27 27 0 01 Jun 2023
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective Xintong Yang Ze Ji Jing Wu Yunyu Lai 31 12 0 09 Mar 2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation Jing-Cheng Pang Xinyi Yang Sibei Yang Yang Yu 27 8 0 18 Feb 2023
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 13 3 0 07 Oct 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas L. Griffiths Dylan Hadfield-Menell LM&Ro 26 20 0 16 Jun 2022
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics Frank Röder Manfred Eppe S. Wermter 19 6 0 08 Apr 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 18 22 0 10 Mar 2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language Nathaniel Weir Xingdi Yuan Marc-Alexandre Côté Matthew J. Hausknecht Romain Laroche Ida Momennejad H. V. Seijen Benjamin Van Durme BDL 11 6 0 09 Mar 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 16 130 0 20 Jan 2022
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication Lukasz Kuciñski Tomasz Korbak P. Kołodziej Piotr Milo's 55 19 0 11 Nov 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 33 16 0 14 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 30 24 0 21 Sep 2021
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language Shuyan Zhou Pengcheng Yin Graham Neubig LM&Ro 14 1 0 16 Sep 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 13 100 0 08 Jul 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 31 640 0 03 Jun 2021
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 13 14 0 17 Nov 2020
Compositional Generalization by Learning Analytical Expressions Qian Liu Shengnan An Jian-Guang Lou Bei Chen Zeqi Lin Yan Gao Bin Zhou Nanning Zheng Dongmei Zhang CoGe NAI 13 72 0 18 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 17 241 0 15 May 2020
Neural Modular Control for Embodied Question Answering Abhishek Das Georgia Gkioxari Stefan Lee Devi Parikh Dhruv Batra LM&Ro 120 127 0 26 Oct 2018
Speaker-Follower Models for Vision-and-Language Navigation Daniel Fried Ronghang Hu Volkan Cirik Anna Rohrbach Jacob Andreas Louis-Philippe Morency Taylor Berg-Kirkpatrick Kate Saenko Dan Klein Trevor Darrell LM&Ro LRM 246 496 0 07 Jun 2018