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Using Natural Language for Reward Shaping in Reinforcement Learning

International Joint Conference on Artificial Intelligence (IJCAI), 2019

5 March 2019

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

50 / 119 papers shown

Title
Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with ToolsIEEE Robotics and Automation Letters (RA-L), 2023 Yang You Bokui Shen Congyue Deng Haoran Geng Songlin Wei He Wang Leonidas Guibas 270 4 0 05 Nov 2023
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models Kun-Mo Chu Xufeng Zhao C. Weber Mengdi Li Stefan Wermter LLMAG LM&Ro 234 18 0 04 Nov 2023
$f$ -Policy Gradients: A General Framework for Goal Conditioned RL using $f$ -DivergencesNeural Information Processing Systems (NeurIPS), 2023 Siddhant Agarwal Ishan Durugkar Peter Stone Amy Zhang 247 12 0 10 Oct 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving Hao Sha Yao Mu Yuxuan Jiang Li Chen Chenfeng Xu Ping Luo Shengbo Eben Li Masayoshi Tomizuka Wei Zhan Mingyu Ding 577 217 0 04 Oct 2023
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion ModelInternational Conference on Learning Representations (ICLR), 2023 Zibin Dong Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Tangjie Lv Changjie Fan Zhipeng Hu 211 38 0 03 Oct 2023
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User UnderstandingNeural Information Processing Systems (NeurIPS), 2023 Devleena Das Sonia Chernova Been Kim LRM LLMAG 462 29 0 21 Sep 2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural languageInternational Conference on Computer Science and Artificial Intelligence (ICCSAI), 2023 Zhourui Guo Meng Yao Yang Yu Qiyue Yin OnRL 202 1 0 21 Sep 2023
Guide Your Agent with Adaptive Multimodal RewardsNeural Information Processing Systems (NeurIPS), 2023 Changyeon Kim Younggyo Seo Hao Liu Lisa Lee Jinwoo Shin Honglak Lee Kimin Lee 281 10 0 19 Sep 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 349 701 0 27 Jul 2023
Improving Long-Horizon Imitation Through Instruction PredictionAAAI Conference on Artificial Intelligence (AAAI), 2023 Joey Hejna Pieter Abbeel Lerrel Pinto 174 12 0 21 Jun 2023
Semantic HELM: A Human-Readable Memory for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Fabian Paischer Thomas Adler M. Hofmarcher Sepp Hochreiter 279 17 0 15 Jun 2023
Language to Rewards for Robotic Skill SynthesisConference on Robot Learning (CoRL), 2023 Wenhao Yu Nimrod Gileadi Chuyuan Fu Sean Kirmani Kuang-Huei Lee ... N. Heess Dorsa Sadigh Jie Tan Yuval Tassa F. Xia LM&Ro 232 351 0 14 Jun 2023
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents Sukai Huang Nir Lipovetzky Trevor Cohn 214 2 0 26 May 2023
Strategy Extraction in Single-Agent Games Archana Vadakattu Michelle L. Blom A. Pearce 152 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 Dong Wang Ethan Perez ALM 333 120 0 28 Mar 2023
Conceptual Reinforcement Learning for Language-Conditioned TasksAAAI Conference on Artificial Intelligence (AAAI), 2023 Shaohui Peng Xingui Hu Rui Zhang Jiaming Guo Qi Yi Rui Chen Zidong Du Ling Li Qi Guo Yunji Chen OffRL 173 12 0 09 Mar 2023
Active Reward Learning from Multiple Teachers Peter Barnett Rachel Freedman Justin Svegliato Stuart J. Russell 156 17 0 02 Mar 2023
Reward Design with Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh LM&Ro 375 276 0 27 Feb 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction ManualsNeural Information Processing Systems (NeurIPS), 2023 Yue Wu Yewen Fan Paul Pu Liang A. Azaria Yuan-Fang Li Tom Michael Mitchell OffRL 249 54 0 09 Feb 2023
Temporal Video-Language Alignment Network for Reward Shaping in Reinforcement Learning Ziyuan Cao Reshma A. Ramachandra K. Yu 167 2 0 08 Feb 2023
Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal StandardsSocial Science Research Network (SSRN), 2023 John J. Nay ELM AILaw 250 20 0 24 Jan 2023
Language-guided Task Adaptation for Imitation Learning Prasoon Goyal Raymond J. Mooney S. Niekum LM&Ro 185 2 0 24 Jan 2023
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Weilong Dai XAI 472 2 0 12 Nov 2022
Fixing Model Bugs with Natural Language PatchesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Shikhar Murty Christopher D. Manning Scott M. Lundberg Marco Tulio Ribeiro KELM 207 44 0 07 Nov 2022
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic TasksInternational Conference on Learning Representations (ICLR), 2022 Albert Yu Raymond J. Mooney LM&Ro 263 26 0 10 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with HumansSocial Science Research Network (SSRN), 2022 John J. Nay ELM AILaw 919 31 0 14 Sep 2022
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data SettingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Pradyumna Tambwekar Lakshita Dodeja Nathan Vaska Wei Xu Matthew C. Gombolay 214 1 0 17 Aug 2022
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning AgentsInternational Conference on Machine Learning (ICML), 2022 Rafael Rodríguez-Sánchez Benjamin A. Spiegel Jenny Wang Roma Patel Stefanie Tellex George Konidaris 134 4 0 12 Aug 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework Shunyu Liu Kaixuan Chen Na Yu Mingli Song Zunlei Feng Weilong Dai 258 2 0 05 Jul 2022
Leveraging Language for Accelerated Learning of Tool ManipulationConference on Robot Learning (CoRL), 2022 Allen Z. Ren Bharat Govil Tsung-Yen Yang Karthik Narasimhan Anirudha Majumdar LM&Ro 159 42 0 27 Jun 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RLNeural Information Processing Systems (NeurIPS), 2022 Thomas Carta Pierre-Yves Oudeyer Olivier Sigaud Sylvain Lamprier OffRL 292 29 0 20 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomyNeural Information Processing Systems (NeurIPS), 2022 T. Sumers Robert D. Hawkins Mark K. Ho Thomas Griffiths Dylan Hadfield-Menell LM&Ro 451 26 0 16 Jun 2022
Training Language Models with Language Feedback Jérémy Scheurer Jon Ander Campos Jun Shern Chan Angelica Chen Dong Wang Ethan Perez ALM 467 55 0 29 Apr 2022
Linguistic communication as (inverse) reward design T. Sumers Robert D. Hawkins Mark K. Ho Thomas Griffiths Dylan Hadfield-Menell 102 4 0 11 Apr 2022
Semantic Exploration from Language Abstractions and Pretrained RepresentationsNeural Information Processing Systems (NeurIPS), 2022 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 320 76 0 08 Apr 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language InferenceTransactions of the Association for Computational Linguistics (TACL), 2022 Yufei Feng Xiaoyu Yang Xiao-Dan Zhu Michael A. Greenspan LRM NAI 350 13 0 09 Mar 2022
Improving Intrinsic Exploration with Language AbstractionsNeural Information Processing Systems (NeurIPS), 2022 Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 236 72 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 184 1 0 26 Jan 2022
Direct Behavior Specification via Constrained Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021 Julien Roy Roger Girgis Joshua Romoff Pierre-Luc Bacon C. Pal 432 43 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 337 50 0 07 Dec 2021
Guided Policy Search for Parameterized Skills using Adverbs Benjamin A. Spiegel George Konidaris 148 2 0 23 Oct 2021
Interactive Hierarchical Guidance using Language Bharat Prakash Nicholas R. Waytowich Tim Oates T. Mohsenin LM&Ro 145 9 0 09 Oct 2021
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning Sayan Ghosh Shashank Srivastava 214 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 279 181 0 02 Sep 2021
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning Kaylee Burns Christopher D. Manning Li Fei-Fei 178 0 0 20 Jul 2021
Zero-shot Task Adaptation using Natural Language Prasoon Goyal Raymond J. Mooney S. Niekum LM&Ro 149 21 0 05 Jun 2021
ELLA: Exploration through Learned Language AbstractionNeural Information Processing Systems (NeurIPS), 2021 Suvir Mirchandani Siddharth Karamcheti Dorsa Sadigh LLMAG 140 62 0 10 Mar 2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Julia Ive A. Li Yishu Miao Ozan Caglayan Pranava Madhyastha Lucia Specia 162 12 0 22 Feb 2021
Interactive Learning from Activity DescriptionInternational Conference on Machine Learning (ICML), 2021 Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 262 35 0 13 Feb 2021
Embedding Symbolic Temporal Knowledge into Deep Sequential ModelsIEEE International Conference on Robotics and Automation (ICRA), 2021 Yaqi Xie Fan Zhou Harold Soh AI4CE 168 21 0 28 Jan 2021

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Using Natural Language for Reward Shaping in Reinforcement Learning

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