Modular Multitask Reinforcement Learning with Policy Sketches

6 November 2016

Papers citing "Modular Multitask Reinforcement Learning with Policy Sketches"

50 / 273 papers shown

Title
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 42 12 0 22 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 44 74 0 13 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
Learning Setup Policies: Reliable Transition Between Locomotion Behaviours Brendan Tidd N. Hudson Akansel Cosgun Jurgen Leitner 17 4 0 23 Jan 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning H. Wang Victor Zhong Karthik Narasimhan 81 54 0 19 Jan 2021
Natural Language Specification of Reinforcement Learning Policies through Differentiable Decision Trees Pradyumna Tambwekar Andrew Silva N. Gopalan Matthew C. Gombolay 22 9 0 18 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 54 311 0 25 Dec 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 33 34 0 03 Nov 2020
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning Valerie Chen Abhinav Gupta Kenneth Marino OffRL 33 40 0 01 Nov 2020
Modular Networks for Compositional Instruction Following Rodolfo Corona Daniel Fried Coline Devin Dan Klein Trevor Darrell 33 5 0 24 Oct 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments Jun Yamada Youngwoon Lee G. Salhotra Karl Pertsch Max Pflueger Gaurav Sukhatme Joseph J. Lim Péter Englert 12 43 0 22 Oct 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling Xin Ye Yezhou Yang 22 14 0 16 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 44 216 0 06 Oct 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 30 564 0 16 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 55 610 0 10 Sep 2020
Induction and Exploitation of Subgoal Automata for Reinforcement Learning Daniel Furelos-Blanco Mark Law Anders Jonsson Krysia Broda A. Russo 6 31 0 08 Sep 2020
A Composable Specification Language for Reinforcement Learning Tasks Kishor Jothimurugan Rajeev Alur Osbert Bastani 9 86 0 21 Aug 2020
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 46 4 0 27 Jul 2020
Referring Expression Comprehension: A Survey of Methods and Datasets Yanyuan Qiao Chaorui Deng Qi Wu ObjD 50 93 0 19 Jul 2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation Zhiwei Deng Karthik Narasimhan Olga Russakovsky 26 86 0 11 Jul 2020
Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer Thomas J. Ringstrom Mohammadhosein Hasanbeig Alessandro Abate 21 3 0 06 Jul 2020
Developing cooperative policies for multi-stage tasks J. Erskine Christopher F. Lehnert 8 0 0 01 Jul 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 38 74 0 29 Jun 2020
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples Zhe Xu Bo Wu Aditya Ojha Daniel Neider Ufuk Topcu OffRL 22 30 0 28 Jun 2020
PICO: Primitive Imitation for COntrol Corban G. Rivera K. Popek C. Ashcraft Edward W. Staley Kapil D. Katyal B. Paulhamus 10 0 0 22 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
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning Qing Li Siyuan Huang Yining Hong Yixin Chen Ying Nian Wu Song-Chun Zhu NAI 36 81 0 11 Jun 2020
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas Yen-Ling Kuo Boris Katz Andrei Barbu 42 39 0 01 Jun 2020
Probing Emergent Semantics in Predictive Agents via Question Answering Abhishek Das Federico Carnevale Hamza Merzic Laura Rimell R. Schneider ... Alden Hung Arun Ahuja S. Clark Greg Wayne Felix Hill 40 18 0 01 Jun 2020
Explainable Reinforcement Learning: A Survey Erika Puiutta Eric M. S. P. Veith XAI 6 239 0 13 May 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps Wang Zhu Hexiang Hu Jiacheng Chen Zhiwei Deng Vihan Jain Eugene Ie Fei Sha LM&Ro 25 71 0 10 May 2020
Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks Haonan Chang Zhuo Xu Masayoshi Tomizuka 11 7 0 07 May 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 176 0 30 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 25 41 0 03 Mar 2020
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning Borja G. Leon Francesco Belardinelli OffRL 23 17 0 14 Feb 2020
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies Sungryull Sohn Hyunjae Woo Jongwook Choi Honglak Lee OffRL 36 36 0 01 Jan 2020
Zero-shot generalization using cascaded system-representations A. Malik OffRL 14 2 0 11 Dec 2019
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning Mohammadhosein Hasanbeig N. Jeppu Alessandro Abate T. Melham Daniel Kroening 8 20 0 22 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 31 122 0 17 Nov 2019
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models Siddharth Dalmia Abdel-rahman Mohamed M. Lewis Florian Metze Luke Zettlemoyer 19 10 0 09 Nov 2019
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar Amit K. Roy-Chowdhury 86 47 0 03 Nov 2019
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control Coline Devin Daniel Geng Pieter Abbeel Trevor Darrell Sergey Levine CoGe 8 7 0 30 Oct 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang Yuke Zhu Animesh Garg Silvio Savarese Li Fei-Fei DRL 23 47 0 29 Oct 2019
Conditional Driving from Natural Language Instructions Junha Roh Chris Paxton Andrzej Pronobis Ali Farhadi Dieter Fox LM&Ro 14 33 0 16 Oct 2019
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning Matthias Hutsebaut-Buysse Kevin Mets Steven Latré 19 5 0 09 Oct 2019
Environmental drivers of systematicity and generalization in a situated agent Felix Hill Andrew Kyle Lampinen R. Schneider S. Clark M. Botvinick James L. McClelland Adam Santoro OOD 11 103 0 01 Oct 2019
Efficient Bimanual Manipulation Using Learned Task Schemas Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 28 73 0 30 Sep 2019
Regression Planning Networks Danfei Xu Roberto Martín-Martín De-An Huang Yuke Zhu Silvio Savarese Li Fei-Fei 20 57 0 28 Sep 2019
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer Andrew Hundt Benjamin Killeen Nicholas Greene Hongtao Wu Heeyeon Kwon Chris Paxton Gregory Hager OffRL 17 8 0 25 Sep 2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications Li-xin Yuan Mohammadhosein Hasanbeig Alessandro Abate Daniel Kroening OffRL 14 39 0 23 Sep 2019