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Modular Multitask Reinforcement Learning with Policy Sketches

6 November 2016

Papers citing "Modular Multitask Reinforcement Learning with Policy Sketches"

50 / 277 papers shown

Title
Developing cooperative policies for multi-stage reinforcement learning tasks J. Erskine Christopher F. Lehnert 44 10 0 11 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 82 6 0 06 May 2022
Training Language Models with Language Feedback Jérémy Scheurer Jon Ander Campos Jun Shern Chan Angelica Chen Kyunghyun Cho Ethan Perez ALM 122 51 0 29 Apr 2022
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics Christos K. Verginis Cevahir Köprülü Sandeep Chinchali Ufuk Topcu 78 11 0 20 Apr 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 55 1 0 13 Apr 2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies Duo Xu Faramarz Fekri 67 2 0 07 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 215 1,990 0 04 Apr 2022
Learning Parameterized Task Structure for Generalization to Unseen Entities Anthony Z. Liu Sungryull Sohn Mahdi Qazwini Honglak Lee 104 6 0 28 Mar 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 114 16 0 25 Mar 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances Robby Costales Shariq Iqbal Fei Sha 73 5 0 23 Mar 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games Yunqiu Xu Meng Fang Ling Chen Yali Du Qiufeng Wang Chengqi Zhang OffRL 52 21 0 20 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 34 0 0 09 Mar 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference Yufei Feng Xiaoyu Yang Xiao-Dan Zhu Michael A. Greenspan LRM NAI 124 11 0 09 Mar 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates Souradeep Dutta Kaustubh Sridhar Osbert Bastani Yan Sun James Weimer Insup Lee J. Parish-Morris 99 2 0 25 Feb 2022
Grammar-Based Grounded Lexicon Learning Jiayuan Mao Haoyue Shi Jiajun Wu R. Levy J. Tenenbaum NAI 87 15 0 17 Feb 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
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent Daoming Lyu Bo Liu Jianshu Chen LRM 74 1 0 01 Feb 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
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 103 45 0 31 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
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 93 31 0 04 Dec 2021
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines Xuejing Zheng Chao Yu Chong Chen Jianye Hao H. Zhuo CLL OffRL 69 9 0 18 Nov 2021
Compositional Transformers for Scene Generation Drew A. Hudson C. L. Zitnick ViT 105 34 0 17 Nov 2021
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization Youngwoon Lee Joseph J. Lim Anima Anandkumar Yuke Zhu OffRL 83 41 0 15 Nov 2021
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning John Harwell Angel Sylvester Aleksi Tukiainen Enrique Munoz de Cote 51 4 0 23 Oct 2021
Guided Policy Search for Parameterized Skills using Adverbs Benjamin A. Spiegel George Konidaris 58 2 0 23 Oct 2021
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark Victor Zhong Austin W. Hanjie Sida Wang Karthik Narasimhan Luke Zettlemoyer 32 12 0 20 Oct 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 96 16 0 18 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 114 27 0 13 Oct 2021
Interactive Hierarchical Guidance using Language Bharat Prakash Nicholas R. Waytowich Tim Oates T. Mohsenin LM&Ro 67 9 0 09 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 55 6 0 08 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 76 5 0 06 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 73 8 0 05 Oct 2021
Skill Induction and Planning with Latent Language Pratyusha Sharma Antonio Torralba Jacob Andreas LM&Ro 263 112 0 04 Oct 2021
Formulation and validation of a car-following model based on deep reinforcement learning Fabian Hart Ostap Okhrin M. Treiber 79 23 0 29 Sep 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 85 21 0 21 Sep 2021
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language Shuyan Zhou Pengcheng Yin Graham Neubig LM&Ro 44 1 0 16 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 132 160 0 02 Sep 2021
Learning compositional programs with arguments and sampling Giovanni De Toni L. Erculiani Andrea Passerini 75 3 0 01 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 113 74 0 31 Aug 2021
Parallelized Reverse Curriculum Generation Zih-Yun Chiu Yi-Lin Tuan Hung-yi Lee Li-Chen Fu 39 1 0 04 Aug 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 158 28 0 13 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi-An Ma 85 23 0 08 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 82 6 0 26 Jun 2021
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 135 81 0 25 Jun 2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture Chin-Jui Chang Yu-Wei Chu Chao-Hsien Ting Hao-Kang Liu Zhang-Wei Hong Chun-Yi Lee AI4CE 25 1 0 30 May 2021
Efficient and robust multi-task learning in the brain with modular latent primitives Christian David Márton Léo Gagnon Guillaume Lajoie Kanaka Rajan 68 6 0 28 May 2021
Multitasking Inhibits Semantic Drift Athul Paul Jacob M. Lewis Jacob Andreas 86 13 0 15 Apr 2021
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals C. V. Rossum Candice Feinberg Adam Abu Shumays Kyle Baxter Benedek Bartha GAN LLMAG LRM 29 1 0 14 Apr 2021
Learning Task Decomposition with Ordered Memory Policy Network Yucheng Lu Songlin Yang Siyuan Zhou Aaron Courville J. Tenenbaum Chuang Gan 72 15 0 19 Mar 2021