Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning

15 June 2017

Papers citing "Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning"

50 / 54 papers shown

Title
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL Mathias Jackermeier Alessandro Abate OffRL 45 1 0 06 Oct 2024
Inductive Generalization in Reinforcement Learning from Specifications Vignesh Subramanian Rohit Kushwah Subhajit Roy Suguman Bansal OffRL 41 0 0 05 Jun 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments Andrew C. Li Zizhao Chen Toryn Q. Klassen Pashootan Vaezipoor Rodrigo Toro Icarte Sheila A. McIlraith 48 6 0 31 May 2024
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception Yiran Qin Enshen Zhou Qichang Liu Zhen-fei Yin Lu Sheng Ruimao Zhang Yu Qiao Jing Shao LM&Ro 32 39 0 12 Dec 2023
OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language Jia Huang Mengxue Hou Junkai Wang Fumin Zhang 40 5 0 27 Sep 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng Xingui Hu Rui Zhang Jiaming Guo Qi Yi Rui Chen Zidong Du Ling Li Qi Guo Yunji Chen OffRL 41 8 0 09 Mar 2023
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents Zihao Wang Shaofei Cai Guanzhou Chen Guy Van den Broeck Xiaojian Ma Yitao Liang LM&Ro LLMAG 60 318 0 03 Feb 2023
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 42 39 0 29 Sep 2022
Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine S. Feizi OffRL 22 2 0 28 Aug 2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization Sungryull Sohn Hyunjae Woo Jongwook Choi lyubing qiang Izzeddin Gur Aleksandra Faust Honglak Lee BDL OffRL 31 3 0 25 May 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield CLL OffRL 32 1 0 16 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 32 6 0 06 May 2022
LISA: Learning Interpretable Skill Abstractions from Language Divyansh Garg Skanda Vaidyanath Kuno Kim Jiaming Song Stefano Ermon LM&Ro OffRL 156 29 0 28 Feb 2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization Yihan Li Jinsheng Ren Tianrun Xu Tianren Zhang Haichuan Gao Feng Chen 21 1 0 26 Jan 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 36 43 0 21 Jan 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning Zichuan Lin Junyou Li Jianing Shi Deheng Ye Qiang Fu Wei Yang BDL 40 34 0 07 Dec 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 26 15 0 18 Oct 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 40 20 0 21 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 39 154 0 02 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization Chiyuan Zhang M. Raghu Jon M. Kleinberg Samy Bengio OOD 32 30 0 27 Jul 2021
gComm: An environment for investigating generalization in Grounded Language Acquisition Rishi Hazra Sonu Dixit 31 0 0 09 May 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning H. Wang Victor Zhong Karthik R. Narasimhan 81 54 0 19 Jan 2021
Intrinsically Motivated Compositional Language Emergence Rishi Hazra Sonu Dixit Sayambhu Sen 11 1 0 09 Dec 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 33 34 0 03 Nov 2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation Zhiwei Deng Karthik R. Narasimhan Olga Russakovsky 24 86 0 11 Jul 2020
Task-agnostic Exploration in Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla OffRL 15 49 0 16 Jun 2020
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning Borja G. Leon Murray Shanahan Francesco Belardinelli NAI AI4CE 31 28 0 12 Jun 2020
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text Felix Hill Soňa Mokrá Nathaniel Wong Tim Harley LM&Ro 24 81 0 19 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 33 243 0 15 May 2020
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 31 121 0 17 Nov 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 35 85 0 10 Jun 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu 16 63 0 25 Apr 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 30 230 0 21 Apr 2019
Zero-Shot Task Transfer Arghya Pal V. Balasubramanian 11 52 0 04 Mar 2019
Learning To Follow Directions in Street View Karl Moritz Hermann Mateusz Malinowski Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson R. Hadsell SSL 24 66 0 01 Mar 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 22 7 0 26 Feb 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 41 161 0 30 Jan 2019
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 26 63 0 19 Nov 2018
Visual Semantic Navigation using Scene Priors Wei Yang Xueliang Wang Ali Farhadi Abhinav Gupta Roozbeh Mottaghi LM&Ro 33 320 0 15 Oct 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 20 12 0 07 Sep 2018
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction Dipendra Kumar Misra Andrew Bennett Valts Blukis Eyvind Niklasson Max Shatkhin Yoav Artzi LM&Ro 18 186 0 04 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 30 177 0 20 Jun 2018
Learning to Understand Goal Specifications by Modelling Reward Dzmitry Bahdanau Felix Hill Jan Leike Edward Hughes Seyedarian Hosseini Pushmeet Kohli Edward Grefenstette 24 157 0 05 Jun 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation Shani Gamrian Yoav Goldberg 27 105 0 31 May 2018
Hierarchical Reinforcement Learning with Deep Nested Agents Marc Brittain Peng Wei BDL 19 1 0 18 May 2018
Zero-Shot Dialog Generation with Cross-Domain Latent Actions Tiancheng Zhao M. Eskénazi VLM 27 76 0 13 May 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,304 0 12 Mar 2018
Interactive Grounded Language Acquisition and Generalization in a 2D World Haonan Yu Haichao Zhang Wenyuan Xu LLMAG LM&Ro 30 77 0 31 Jan 2018