Language as an Abstraction for Hierarchical Deep Reinforcement Learning

18 June 2019

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

49 / 49 papers shown

Title
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning Beyazit Yalcinkaya Niklas Lauffer Marcell Vazquez-Chanlatte Sanjit A. Seshia AI4CE 94 6 0 31 Oct 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 81 1 0 21 Aug 2024
Policy Learning with a Language Bottleneck Megha Srivastava Cédric Colas Dorsa Sadigh Jacob Andreas 80 3 0 07 May 2024
A Survey of Reinforcement Learning Informed by Natural Language Jelena Luketina Nantas Nardelli Gregory Farquhar Jakob N. Foerster Jacob Andreas Edward Grefenstette Shimon Whiteson Tim Rocktaschel LM&Ro KELM OffRL LRM 64 281 0 10 Jun 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 69 276 0 08 Mar 2019
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following Justin Fu Anoop Korattikara Balan Sergey Levine S. Guadarrama OffRL LM&Ro 60 125 0 20 Feb 2019
Neural Modular Control for Embodied Question Answering Abhishek Das Georgia Gkioxari Stefan Lee Devi Parikh Dhruv Batra LM&Ro 168 130 0 26 Oct 2018
BLEU is Not Suitable for the Evaluation of Text Simplification Elior Sulem Omri Abend A. Rappoport 48 193 0 14 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 57 209 0 02 Oct 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 66 543 0 12 Jul 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 311 499 0 07 Jun 2018
Learning to Understand Goal Specifications by Modelling Reward Dzmitry Bahdanau Felix Hill Jan Leike Edward Hughes Seyedarian Hosseini Pushmeet Kohli Edward Grefenstette 96 159 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 558 3,109 0 04 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 94 807 0 21 May 2018
Hierarchical Reinforcement Learning with Hindsight Andrew Levy Robert Platt Kate Saenko 59 84 0 21 May 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 31 72 0 13 Mar 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 101 238 0 25 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 153 4,432 0 16 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 248 8,303 0 04 Jan 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 107 140 0 20 Dec 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 44 261 0 24 Nov 2017
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments Peter Anderson Qi Wu Damien Teney Jake Bruce Mark Johnson Niko Sünderhauf Ian Reid Stephen Gould Anton Van Den Hengel LM&Ro 86 1,303 0 20 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 199 4,984 0 02 Nov 2017
Learning with Latent Language Jacob Andreas Dan Klein Sergey Levine 54 133 0 01 Nov 2017
Meta Learning Shared Hierarchies Kevin Frans Jonathan Ho Xi Chen Pieter Abbeel John Schulman 53 352 0 26 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 310 2,198 0 22 Sep 2017
When Waiting is not an Option : Learning Options with a Deliberation Cost J. Harb Pierre-Luc Bacon Martin Klissarov Doina Precup 42 148 0 14 Sep 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 237 2,321 0 05 Jul 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 65 119 0 14 May 2017
Beating Atari with Natural Language Guided Reinforcement Learning Russell Kaplan Chris Sauer A. Sosa LM&Ro 52 69 0 18 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 78 361 0 10 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 82 904 0 03 Mar 2017
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 207 2,391 0 23 Dec 2016
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 283 2,365 0 20 Dec 2016
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 116 461 0 06 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 244 5,358 0 03 Nov 2016
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 65 207 0 17 Oct 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 58 1,082 0 16 Sep 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 121 380 0 25 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 61 1,134 0 20 Apr 2016
Deep Reinforcement Learning with a Natural Language Action Space Ji He Jianshu Chen Xiaodong He Jianfeng Gao Lihong Li Li Deng Mari Ostendorf 71 245 0 14 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 146 7,621 0 22 Sep 2015
Language Understanding for Text-based Games Using Deep Reinforcement Learning Karthik Narasimhan Tejas D. Kulkarni Regina Barzilay OffRL 79 361 0 30 Jun 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 68 3,397 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 264 3,428 0 02 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,820 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 332 20,518 0 10 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 203 6,770 0 03 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 404 16,947 0 20 Dec 2013