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
Emotion Recognition Using Convolutional Neural Networks Shaoyuan Xu Yang Cheng Qian Lin J. Allebach 34 0 0 03 Apr 2025
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation In-Chang Baek Sung-Hyun Kim Seo-Young Lee Dong-Hyeun Kim Kyung-Joong Kim 56 0 0 16 Mar 2025
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Pusen Dong Tianchen Zhu Yue Qiu Haoyi Zhou Jianxin Li 78 1 0 24 Feb 2025
Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment Kartik Nagpal Dayi Dong Jean-Baptiste Bouvier Negar Mehr LLMAG 49 1 0 24 Feb 2025
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Negin Hashemi Dijujin Seyed Roozbeh Razavi Rohani Mohammad Samiei M. Baghshah 53 0 0 28 Jan 2025
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards Shresth Verma Niclas Boehmer Lingkai Kong Milind Tambe 69 2 0 17 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 44 12 0 31 Dec 2024
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives Armin Saghafian Amirmohammad Izadi Negin Hashemi Dijujin M. Baghshah 64 0 0 29 Nov 2024
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings Miguel Moura Ramos Tomás Almeida Daniel Vareta Filipe Azevedo Sweta Agrawal Patrick Fernandes André F. T. Martins 31 1 0 08 Nov 2024
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use Jiajun Xi Yinong He Jianing Yang Yinpei Dai Joyce Chai LM&Ro 24 2 0 31 Oct 2024
Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards Grant C. Forbes Leonardo Villalobos-Arias Jianxun Wang Arnav Jhala David L. Roberts 29 0 0 16 Oct 2024
Trajectory Improvement and Reward Learning from Comparative Language Feedback Zhaojing Yang Miru Jun J. Tien Stuart J. Russell Anca Dragan Erdem Bıyık 32 5 0 08 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL Mathias Jackermeier Alessandro Abate OffRL 40 1 0 06 Oct 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models Kanghyun Ryu Qiayuan Liao Zhongyu Li K. Sreenath Negar Mehr Negar Mehr LM&Ro 156 3 0 27 Sep 2024
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL Eduardo Pignatelli Johan Ferret Tim Rockäschel Edward Grefenstette Davide Paglieri Samuel Coward Laura Toni 38 2 0 19 Sep 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 34 3 0 23 Jul 2024
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots Hang Yu Qidi Fang Shijie Fang Reuben M. Aronson E. Short 25 0 0 08 Jul 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 35 0 0 08 Jul 2024
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models Fuxiang Zhang Junyou Li Yi-Chen Li Zongzhang Zhang Yang Yu Deheng Ye OffRL KELM 47 1 0 04 Jul 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought Gabriel H. Sarch Lawrence Jang Michael J. Tarr William W. Cohen Kenneth Marino Katerina Fragkiadaki LLMAG 47 0 0 20 Jun 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 42 1 0 09 Jun 2024
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies Md Mirajul Islam Xi Yang J. Hostetter Adittya Soukarjya Saha Min Chi 23 1 0 04 Jun 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments Andrew C. Li Zizhao Chen Toryn Q. Klassen Pashootan Vaezipoor Rodrigo Toro Icarte Sheila A. McIlraith 48 6 0 31 May 2024
A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy Zhaoxing Li 22 2 0 16 May 2024
Natural Language Can Help Bridge the Sim2Real Gap Albert Yu Adeline Foote Raymond J. Mooney Roberto Martín-Martín LM&Ro 43 11 0 16 May 2024
NARRATE: Versatile Language Architecture for Optimal Control in Robotics Seif Ismail Antonio Arbues Ryan Cotterell René Zurbrügg Carmen Amo Alonso LM&Ro 24 4 0 16 Mar 2024
Learning with Language-Guided State Abstractions Andi Peng Ilia Sucholutsky Belinda Z. Li T. Sumers Thomas L. Griffiths Jacob Andreas Julie A. Shah LM&Ro 46 13 0 28 Feb 2024
Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning Jinyeob Kim Sumin Kang Sungwoo Yang Beomjoon Kim Jargalbaatar Yura Donghan Kim 118 1 0 22 Feb 2024
Potential-Based Reward Shaping For Intrinsic Motivation Grant C. Forbes Nitish Gupta Leonardo Villalobos-Arias Colin M. Potts Arnav Jhala David L. Roberts 6 4 0 12 Feb 2024
Informativeness of Reward Functions in Reinforcement Learning R. Devidze Parameswaran Kamalaruban Adish Singla 23 2 0 10 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models M. Pternea Prerna Singh Abir Chakraborty Y. Oruganti M. Milletarí Sayli Bapat Kebei Jiang OffRL 18 7 0 02 Feb 2024
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models Xingzhou Lou Junge Zhang Ziyan Wang Kaiqi Huang Yali Du 38 3 0 15 Jan 2024
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation Meng Cao Lei Shu Lei Yu Yun Zhu Nevan Wichers Yinxiao Liu Lei Meng OffRL ALM 19 4 0 14 Jan 2024
RePLan: Robotic Replanning with Perception and Language Models Marta Skreta Zihan Zhou Jia Lin Yuan Kourosh Darvish Alán Aspuru-Guzik Animesh Garg LM&Ro LRM 40 26 0 08 Jan 2024
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL Chaitanya Kharyal S. Gottipati Tanmay Kumar Sinha Srijita Das Matthew E. Taylor LLMAG 13 1 0 03 Jan 2024
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning Filippos Christianos Georgios Papoudakis Matthieu Zimmer Thomas Coste Zhihao Wu ... Yicheng Luo Jianye Hao Kun Shao Haitham Bou-Ammar Jun Wang 30 18 0 22 Dec 2023
FoMo Rewards: Can we cast foundation models as reward functions? Ekdeep Singh Lubana Johann Brehmer P. D. Haan Taco S. Cohen OffRL LRM 48 2 0 06 Dec 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei Shunyu Liu Jie Song Tongya Zheng Kaixuan Chen Yong Wang Mingli Song 25 0 0 28 Nov 2023
LLM Augmented Hierarchical Agents Bharat Prakash Tim Oates T. Mohsenin 16 4 0 09 Nov 2023
Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with Tools Yang You Bokui Shen Congyue Deng Haoran Geng Songlin Wei He-Nan Wang Leonidas J. Guibas 26 1 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 36 14 0 04 Nov 2023
$f$ -Policy Gradients: A General Framework for Goal Conditioned RL using $f$ -Divergences Siddhant Agarwal Ishan Durugkar Peter Stone Amy Zhang 31 4 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 114 159 0 04 Oct 2023
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model Zibin Dong Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Tangjie Lv Changjie Fan Zhipeng Hu 45 29 0 03 Oct 2023
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das Sonia Chernova Been Kim LRM LLMAG 28 22 0 21 Sep 2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language Zhourui Guo Meng Yao Yang Yu Qiyue Yin OnRL 28 1 0 21 Sep 2023
Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim Younggyo Seo Hao Liu Lisa Lee Jinwoo Shin Honglak Lee Kimin Lee 20 9 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 47 470 0 27 Jul 2023
Improving Long-Horizon Imitation Through Instruction Prediction Joey Hejna Pieter Abbeel Lerrel Pinto 14 7 0 21 Jun 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer Thomas Adler M. Hofmarcher Sepp Hochreiter 21 9 0 15 Jun 2023