Using Natural Language for Reward Shaping in Reinforcement Learning

5 March 2019

Papers citing "Using Natural Language for Reward Shaping in Reinforcement Learning"

50 / 109 papers shown

Title
Language to Rewards for Robotic Skill Synthesis Wenhao Yu Nimrod Gileadi Chuyuan Fu Sean Kirmani Kuang-Huei Lee ... N. Heess Dorsa Sadigh Jie Tan Yuval Tassa F. Xia LM&Ro 37 269 0 14 Jun 2023
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents Sukai Huang N. Lipovetzky Trevor Cohn 30 2 0 26 May 2023
Strategy Extraction in Single-Agent Games Archana Vadakattu Michelle L. Blom A. Pearce 21 1 0 22 May 2023
Training Language Models with Language Feedback at Scale Jérémy Scheurer Jon Ander Campos Tomasz Korbak Jun Shern Chan Angelica Chen Kyunghyun Cho Ethan Perez ALM 39 101 0 28 Mar 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 35 8 0 09 Mar 2023
Active Reward Learning from Multiple Teachers Peter Barnett Rachel Freedman Justin Svegliato Stuart J. Russell 25 14 0 02 Mar 2023
Reward Design with Language Models Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh LM&Ro 27 200 0 27 Feb 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals Yue Wu Yewen Fan Paul Pu Liang A. Azaria Yuan-Fang Li Tom Michael Mitchell OffRL 26 47 0 09 Feb 2023
Temporal Video-Language Alignment Network for Reward Shaping in Reinforcement Learning Ziyuan Cao Reshma A. Ramachandra K. Yu 20 2 0 08 Feb 2023
Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards John J. Nay ELM AILaw 29 15 0 24 Jan 2023
Language-guided Task Adaptation for Imitation Learning Prasoon Goyal Raymond J. Mooney S. Niekum LM&Ro 22 2 0 24 Jan 2023
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Jie Song Huiqiong Wang Mingli Song XAI 30 1 0 12 Nov 2022
Fixing Model Bugs with Natural Language Patches Shikhar Murty Christopher D. Manning Scott M. Lundberg Marco Tulio Ribeiro KELM 24 37 0 07 Nov 2022
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks Albert Yu Raymond J. Mooney LM&Ro 32 19 0 10 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 88 27 0 14 Sep 2022
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting Pradyumna Tambwekar Lakshita Dodeja Nathan Vaska Wei Xu Matthew C. Gombolay 33 0 0 17 Aug 2022
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents Rafael Rodríguez-Sánchez Benjamin A. Spiegel Jenny Wang Roma Patel Stefanie Tellex George Konidaris 13 2 0 12 Aug 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework Shunyu Liu Kaixuan Chen Na Yu Jie Song Zunlei Feng Mingli Song 39 1 0 05 Jul 2022
Leveraging Language for Accelerated Learning of Tool Manipulation Allen Z. Ren Bharat Govil Tsung-Yen Yang Karthik Narasimhan Anirudha Majumdar LM&Ro 22 37 0 27 Jun 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL Thomas Carta Pierre-Yves Oudeyer Olivier Sigaud Sylvain Lamprier OffRL 23 24 0 20 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas L. Griffiths Dylan Hadfield-Menell LM&Ro 32 20 0 16 Jun 2022
Training Language Models with Language Feedback Jérémy Scheurer Jon Ander Campos Jun Shern Chan Angelica Chen Kyunghyun Cho Ethan Perez ALM 38 47 0 29 Apr 2022
Linguistic communication as (inverse) reward design T. Sumers Robert D. Hawkins Mark K. Ho Thomas L. Griffiths Dylan Hadfield-Menell 12 4 0 11 Apr 2022
Semantic Exploration from Language Abstractions and Pretrained Representations Allison C. Tam Neil C. Rabinowitz Andrew Kyle Lampinen Nicholas A. Roy Stephanie C. Y. Chan D. Strouse Jane X. Wang Andrea Banino Felix Hill LM&Ro 33 67 0 08 Apr 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference Yufei Feng Xiaoyu Yang Xiao-Dan Zhu Michael A. Greenspan LRM NAI 44 11 0 09 Mar 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 103 63 0 17 Feb 2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization Yihan Li Jinsheng Ren Tianrun Xu Tianren Zhang Haichuan Gao Feng Chen 16 1 0 26 Jan 2022
Direct Behavior Specification via Constrained Reinforcement Learning Julien Roy Roger Girgis Joshua Romoff Pierre-Luc Bacon C. Pal 22 34 0 22 Dec 2021
Tell me why! Explanations support learning relational and causal structure Andrew Kyle Lampinen Nicholas A. Roy Ishita Dasgupta Stephanie C. Y. Chan Allison C. Tam ... Chen Yan Adam Santoro Neil C. Rabinowitz Jane X. Wang Felix Hill 30 45 0 07 Dec 2021
Guided Policy Search for Parameterized Skills using Adverbs Benjamin A. Spiegel George Konidaris 6 2 0 23 Oct 2021
Interactive Hierarchical Guidance using Language Bharat Prakash Nicholas R. Waytowich Tim Oates T. Mohsenin LM&Ro 14 9 0 09 Oct 2021
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning Sayan Ghosh Shashank Srivastava 25 3 0 02 Oct 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 37 154 0 02 Sep 2021
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning Kaylee Burns Christopher D. Manning Li Fei-Fei 19 0 0 20 Jul 2021
Zero-shot Task Adaptation using Natural Language Prasoon Goyal Raymond J. Mooney S. Niekum LM&Ro 17 18 0 05 Jun 2021
ELLA: Exploration through Learned Language Abstraction Suvir Mirchandani Siddharth Karamcheti Dorsa Sadigh LLMAG 19 57 0 10 Mar 2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation Julia Ive A. Li Yishu Miao Ozan Caglayan Pranava Madhyastha Lucia Specia 26 10 0 22 Feb 2021
Interactive Learning from Activity Description Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 47 34 0 13 Feb 2021
Embedding Symbolic Temporal Knowledge into Deep Sequential Models Yaqi Xie Fan Zhou Harold Soh AI4CE 13 19 0 28 Jan 2021
Choice Set Misspecification in Reward Inference Rachel Freedman Rohin Shah Anca Dragan 10 17 0 19 Jan 2021
The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation Shurjo Banerjee Jesse Thomason Jason J. Corso LM&Ro 73 30 0 23 Oct 2020
Sentiment Analysis for Reinforcement Learning A. Deshpande Eve Fleisig 10 0 0 05 Oct 2020
Learning Rewards from Linguistic Feedback T. Sumers Mark K. Ho Robert D. Hawkins Karthik Narasimhan Thomas L. Griffiths 21 51 0 30 Sep 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 17 6 0 27 Aug 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 25 37 0 16 Aug 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards Prasoon Goyal S. Niekum Raymond J. Mooney LM&Ro 24 53 0 30 Jul 2020
An Overview of Natural Language State Representation for Reinforcement Learning Brielen Madureira David Schlangen OffRL 6 9 0 19 Jul 2020
Dialog as a Vehicle for Lifelong Learning Aishwarya Padmakumar Raymond J. Mooney 11 2 0 26 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 33 242 0 15 May 2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks Nazneen Rajani Rui Zhang Y. Tan Stephan Zheng Jeremy C. Weiss Aadit Vyas Abhijit Gupta Caiming Xiong R. Socher Dragomir R. Radev ReLM LRM 19 20 0 02 May 2020