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Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language

12 May 2022

Papers citing "Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language"

47 / 47 papers shown

Title
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents Wenlong Huang Pieter Abbeel Deepak Pathak Igor Mordatch LM&Ro 90 1,108 0 18 Jan 2022
WebGPT: Browser-assisted question-answering with human feedback Reiichiro Nakano Jacob Hilton S. Balaji Jeff Wu Ouyang Long ... Gretchen Krueger Kevin Button Matthew Knight B. Chess John Schulman ALM RALM 185 1,275 0 17 Dec 2021
Improving language models by retrieving from trillions of tokens Sebastian Borgeaud A. Mensch Jordan Hoffmann Trevor Cai Eliza Rutherford ... Simon Osindero Karen Simonyan Jack W. Rae Erich Elsen Laurent Sifre KELM RALM 242 1,086 0 08 Dec 2021
Interactive Machine Comprehension with Dynamic Knowledge Graphs Xingdi Yuan 56 3 0 31 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 79 104 0 23 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM 61 6 0 02 Jul 2021
Reinforcement Learning with External Knowledge by using Logical Neural Networks Daiki Kimura Subhajit Chaudhury Akifumi Wachi Ryosuke Kohita Asim Munawar Michiaki Tatsubori Alexander G. Gray 25 11 0 03 Mar 2021
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval Wenhan Xiong Xiang Lorraine Li Srini Iyer Jingfei Du Patrick Lewis ... Yashar Mehdad Wen-tau Yih Sebastian Riedel Douwe Kiela Barlas Oğuz 58 192 0 27 Sep 2020
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets Patrick Lewis Pontus Stenetorp Sebastian Riedel OOD ELM 153 187 0 06 Aug 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari Xingdi Yuan Marc-Alexandre Côté M. Zelinka Marc-Antoine Rondeau Romain Laroche Pascal Poupart Jian Tang Adam Trischler William L. Hamilton AI4CE 64 81 0 21 Feb 2020
Graph Constrained Reinforcement Learning for Natural Language Action Spaces Prithviraj Ammanabrolu Matthew J. Hausknecht AI4CE LLMAG 69 129 0 23 Jan 2020
Ask to Learn: A Study on Curiosity-driven Question Generation Thomas Scialom Jacopo Staiano 57 24 0 08 Nov 2019
RTFM: Generalising to Novel Environment Dynamics via Reading Victor Zhong Tim Rocktaschel Edward Grefenstette LLMAG OffRL AI4CE 56 54 0 18 Oct 2019
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning Khanh Nguyen Hal Daumé LM&Ro EgoV 206 151 0 04 Sep 2019
Playing log(N)-Questions over Sentences P. Potash Kaheer Suleman 27 2 0 13 Aug 2019
Metalearned Neural Memory Tsendsuren Munkhdalai Alessandro Sordoni Tong Wang Adam Trischler KELM 49 62 0 23 Jul 2019
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering Yair Feldman Ran El-Yaniv RALM 78 100 0 15 Jun 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio ELM 74 241 0 18 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 56 269 0 04 Oct 2018
TextWorld: A Learning Environment for Text-based Games Marc-Alexandre Côté Ákos Kádár Xingdi Yuan Ben A. Kybartas Tavian Barnes ... Matthew J. Hausknecht Layla El Asri Mahmoud Adada Wendy Tay Adam Trischler LLMAG 44 370 0 29 Jun 2018
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering Unnat Jain Svetlana Lazebnik Alex Schwing MLLM 63 81 0 29 Mar 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 55 159 0 14 Feb 2018
Deep Reinforcement Learning Boosted by External Knowledge Nicolas Bougie R. Ichise OffRL 44 15 0 12 Dec 2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning Rajarshi Das Shehzaad Dhuliawala Manzil Zaheer Luke Vilnis Ishan Durugkar A. Krishnamurthy Alex Smola Andrew McCallum KELM 96 511 0 15 Nov 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,265 0 06 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 352 2,212 0 22 Sep 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 118 1,954 0 19 Sep 2017
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning Victor Zhong Caiming Xiong R. Socher RALM 100 1,196 0 31 Aug 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 52 285 0 08 Aug 2017
Learning Algorithms for Active Learning Philip Bachman Alessandro Sordoni Adam Trischler VLM 72 157 0 31 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning Christian Buck Jannis Bulian Massimiliano Ciaramita Wojciech Gajewski Andrea Gesmundo N. Houlsby Wei Wang 62 167 0 22 May 2017
Machine Comprehension by Text-to-Text Neural Question Generation Xingdi Yuan Tong Wang Çağlar Gülçehre Alessandro Sordoni Philip Bachman Sandeep Subramanian Saizheng Zhang Adam Trischler OOD 95 187 0 04 May 2017
Learning to Ask: Neural Question Generation for Reading Comprehension Xinya Du Junru Shao Claire Cardie 3DV 151 664 0 29 Apr 2017
Reinforcement Learning with External Knowledge and Two-Stage Q-functions for Predicting Popular Reddit Threads Ji He Mari Ostendorf Xiaodong He OffRL LRM 24 10 0 20 Apr 2017
Get To The Point: Summarization with Pointer-Generator Networks A. See Peter J. Liu Christopher D. Manning 3DPC 298 4,019 0 14 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 408 2,464 0 10 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 84 623 0 03 Mar 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 174 1,478 0 06 Jun 2016
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 71 574 0 24 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 591 12,713 0 11 Dec 2014
Memory Networks Jason Weston S. Chopra Antoine Bordes GNN KELM 147 1,706 0 15 Oct 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,354 0 03 Jun 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013