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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
Zero-Shot Instruction Following in RL via Structured LTL Representations Mattia Giuri Mathias Jackermeier Alessandro Abate OffRL 105 0 0 02 Dec 2025
CLIP-RL: Aligning Language and Policy Representations for Task Transfer in Reinforcement Learning Chainesh Gautam Raghuram Bharadwaj Diddigi LM&Ro VLM 88 0 0 01 Dec 2025
Language-conditioned world model improves policy generalization by reading environmental descriptions Anh Nguyen Stefan Lee LM&Ro 124 0 0 28 Nov 2025
From Words to Safety: Language-Conditioned Safety Filtering for Robot Navigation Zeyuan Feng Haimingyue Zhang Somil Bansal 72 0 0 08 Nov 2025
Lightweight Robust Direct Preference Optimization Cheol Woo Kim Shresth Verma Mauricio Tec Milind Tambe 100 0 0 27 Oct 2025
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning Runpeng Xie Quanwei Wang Hao Hu Zherui Zhou Ni Mu Xiyun Li Yiqin Yang Shuang Xu Qianchuan Zhao Bo Xu 140 0 0 22 Oct 2025
Preference Robustness for DPO with Applications to Public Health Cheol Woo Kim Shresth Verma Mauricio Tec Milind Tambe 106 0 0 02 Sep 2025
Language and Experience: A Computational Model of Social Learning in Complex Tasks Cédric Colas Tracey Mills Ben Prystawski Michael Henry Tessler Noah D. Goodman Jacob Andreas Joshua B. Tenenbaum 122 0 0 26 Aug 2025
Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation Albert Yu Chengshu Li Luca Macesanu Arnav Balaji Ruchira Ray Raymond J. Mooney R. M. Martin LM&Ro 96 0 0 07 Aug 2025
ReDit: Reward Dithering for Improved LLM Policy Optimization Chenxing Wei Jiarui Yu Y. He Hande Dong Yao Shu Fei Richard Yu LRM 200 4 0 23 Jun 2025
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Tianjiao Li Mengran Yu Chenyu Shi Yanjun Zhao Xiaojing Liu Qiang Zhang Qi Zhang Qi Zhang Jiayin Wang 283 0 0 05 Jun 2025
Emotion Recognition Using Convolutional Neural Networks Shaoyuan Xu Yang Cheng Qian Lin J. Allebach 279 6 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 350 2 0 16 Mar 2025
Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit AssignmentAdaptive Agents and Multi-Agent Systems (AAMAS), 2025 Kartik Nagpal Dayi Dong Jean-Baptiste Bouvier Negar Mehr LLMAG 232 6 0 24 Feb 2025
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement LearningMachine-mediated learning (ML), 2025 Negin Hashemi Dijujin Seyed Roozbeh Razavi Rohani Mohammad Samiei M. Baghshah 265 0 0 28 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning ApplicationsIEEE Access (IEEE Access), 2024 Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 270 48 0 31 Dec 2024
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024 Pusen Dong Tianchen Zhu Yue Qiu Haoyi Zhou Jianxin Li 330 1 0 12 Dec 2024
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives Armin Saghafian Amirmohammad Izadi Negin Hashemi Dijujin M. Baghshah 426 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 Marcely Zanon Boito 380 6 0 08 Nov 2024
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language UseConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Jiajun Xi Yinong He Jianing Yang Yinpei Dai Joyce Chai LM&Ro 277 9 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 231 2 0 16 Oct 2024
Trajectory Improvement and Reward Learning from Comparative Language FeedbackConference on Robot Learning (CoRL), 2024 Zhaojing Yang Miru Jun J. Tien Stuart J. Russell Anca Dragan Erdem Bıyık 241 12 0 08 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RLInternational Conference on Learning Representations (ICLR), 2024 Mathias Jackermeier Alessandro Abate OffRL 354 10 0 06 Oct 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language ModelsIEEE International Conference on Robotics and Automation (ICRA), 2024 Kanghyun Ryu Qiayuan Liao Zhongyu Li Koushil Sreenath Negar Mehr Negar Mehr LM&Ro 728 10 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 263 7 0 19 Sep 2024
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards Shresth Verma Niclas Boehmer Lingkai Kong Milind Tambe 394 6 0 22 Aug 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 277 4 0 23 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 211 0 0 08 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 177 4 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 285 3 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 667 30 0 20 Jun 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 504 3 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 199 2 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 395 11 0 31 May 2024
A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy Zhaoxing Li 160 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 361 21 0 16 May 2024
NARRATE: Versatile Language Architecture for Optimal Control in Robotics Seif Ismail Antonio Arbues Robert Bamler René Zurbrügg Carmen Amo Alonso LM&Ro 237 7 0 16 Mar 2024
Learning with Language-Guided State Abstractions Andi Peng Ilia Sucholutsky Belinda Z. Li T. Sumers Thomas Griffiths Jacob Andreas Julie A. Shah LM&Ro 228 16 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 753 2 0 22 Feb 2024
Potential-Based Reward Shaping For Intrinsic MotivationAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Grant C. Forbes Nitish Gupta Leonardo Villalobos-Arias Colin M. Potts Arnav Jhala David L. Roberts 132 9 0 12 Feb 2024
Informativeness of Reward Functions in Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 R. Devidze Parameswaran Kamalaruban Adish Singla 200 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 206 23 0 02 Feb 2024
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language ModelsAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Xingzhou Lou Junge Zhang Ziyan Wang Kaiqi Huang Yali Du 231 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 284 15 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 295 41 0 08 Jan 2024
GLIDE-RL: Grounded Language Instruction through DEmonstration in RLAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Chaitanya Kharyal S. Gottipati Tanmay Kumar Sinha Srijita Das Matthew E. Taylor LLMAG 183 2 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 Youssef Attia El Hili Haitham Bou-Ammar Jun Wang 217 27 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 207 4 0 06 Dec 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei Shunyu Liu Mingli Song Tongya Zheng Kaixuan Chen Yong Wang Weilong Dai 305 1 0 28 Nov 2023
LLM Augmented Hierarchical Agents Bharat Prakash Tim Oates T. Mohsenin 165 10 0 09 Nov 2023

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Using Natural Language for Reward Shaping in Reinforcement Learning

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