{"total":55,"rows":[{"id":"2303.00001","title":"Reward Design with Language Models","created":"2023-02-27","cited_by_count":261,"area":null},{"id":"2109.01115","title":"Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation","created":"2021-09-02","cited_by_count":118,"area":null},{"id":"2204.05080","title":"Semantic Exploration from Language Abstractions and Pretrained Representations","created":"2022-04-08","cited_by_count":51,"area":null},{"id":"2202.08938","title":"Improving Intrinsic Exploration with Language Abstractions","created":"2022-02-17","cited_by_count":49,"area":null},{"id":"2302.04449","title":"Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals","created":"2023-02-09","cited_by_count":45,"area":null},{"id":"2103.05825","title":"ELLA: Exploration through Learned Language Abstraction","created":"2021-03-10","cited_by_count":42,"area":null},{"id":"2112.03753","title":"Tell me why! Explanations support learning relational and causal structure","created":"2021-12-07","cited_by_count":36,"area":null},{"id":"2211.03318","title":"Fixing Model Bugs with Natural Language Patches","created":"2022-11-07","cited_by_count":33,"area":null},{"id":"2112.12228","title":"Direct Behavior Specification via Constrained Reinforcement Learning","created":"2021-12-22","cited_by_count":31,"area":null},{"id":"2305.13246","title":"Interactive Natural Language Processing","created":"2023-05-22","cited_by_count":31,"area":null},{"id":"2102.07024","title":"Interactive Learning from Activity Description","created":"2021-02-13","cited_by_count":26,"area":null},{"id":"2206.13074","title":"Leveraging Language for Accelerated Learning of Tool Manipulation","created":"2022-06-27","cited_by_count":26,"area":null},{"id":"2206.09674","title":"EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL","created":"2022-06-20","cited_by_count":23,"area":null},{"id":"2209.13020","title":"Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans","created":"2022-09-14","cited_by_count":23,"area":null},{"id":"2202.02886","title":"Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity","created":"2022-02-06","cited_by_count":22,"area":null},{"id":"2206.07870","title":"How to talk so AI will learn: Instructions, descriptions, and autonomy","created":"2022-06-16","cited_by_count":22,"area":null},{"id":"2311.02379","title":"Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models","created":"2023-11-04","cited_by_count":22,"area":null},{"id":"2409.18382","title":"CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models","created":"2024-09-27","cited_by_count":22,"area":null},{"id":"2405.10020","title":"Natural Language Can Help Bridge the Sim2Real Gap","created":"2024-05-16","cited_by_count":21,"area":null},{"id":"2210.04476","title":"Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks","created":"2022-10-10","cited_by_count":17,"area":null},{"id":"2306.09312","title":"Semantic HELM: A Human-Readable Memory for Reinforcement Learning","created":"2023-06-15","cited_by_count":17,"area":null},{"id":"2309.12482","title":"State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding","created":"2023-09-21","cited_by_count":17,"area":null},{"id":"2402.01874","title":"The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models","created":"2024-02-02","cited_by_count":15,"area":null},{"id":"2310.06794","title":"$f$-Policy Gradients: A General Framework for Goal Conditioned RL using $f$-Divergences","created":"2023-10-10","cited_by_count":14,"area":null},{"id":"2203.04857","title":"Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference","created":"2022-03-09","cited_by_count":9,"area":null},{"id":"2301.10095","title":"Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards","created":"2023-01-24","cited_by_count":8,"area":null},{"id":"2303.05069","title":"Conceptual Reinforcement Learning for Language-Conditioned Tasks","created":"2023-03-09","cited_by_count":8,"area":null},{"id":"2306.12554","title":"Improving Long-Horizon Imitation Through Instruction Prediction","created":"2023-06-21","cited_by_count":8,"area":null},{"id":"2102.11387","title":"Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation","created":"2021-02-22","cited_by_count":7,"area":null},{"id":"2407.16186","title":"Automatic Environment Shaping is the Next Frontier in RL","created":"2024-07-23","cited_by_count":7,"area":null},{"id":"2409.12798","title":"Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL","created":"2024-09-19","cited_by_count":7,"area":null},{"id":"2204.05091","title":"Linguistic communication as (inverse) reward design","created":"2022-04-11","cited_by_count":6,"area":null},{"id":"2110.04649","title":"Interactive Hierarchical Guidance using Language","created":"2021-10-09","cited_by_count":5,"area":null},{"id":"2208.06448","title":"RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents","created":"2022-08-12","cited_by_count":4,"area":null},{"id":"2312.03881","title":"FoMo Rewards: Can we cast foundation models as reward functions?","created":"2023-12-06","cited_by_count":4,"area":null},{"id":"2401.07553","title":"Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models","created":"2024-01-15","cited_by_count":4,"area":null},{"id":"2407.03964","title":"Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models","created":"2024-07-04","cited_by_count":4,"area":null},{"id":"2211.06665","title":"A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges","created":"2022-11-12","cited_by_count":3,"area":null},{"id":"2110.00842","title":"Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning","created":"2021-10-02","cited_by_count":2,"area":null},{"id":"2110.15799","title":"Guided Policy Search for Parameterized Skills using Adverbs","created":"2021-10-23","cited_by_count":2,"area":null},{"id":"2305.16621","title":"A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents","created":"2023-05-26","cited_by_count":2,"area":null},{"id":"2406.02450","title":"A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies","created":"2024-06-04","cited_by_count":2,"area":null},{"id":"2505.20671","title":"LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation","created":"2025-05-27","cited_by_count":2,"area":null},{"id":"2207.01955","title":"Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework","created":"2022-07-05","cited_by_count":1,"area":null},{"id":"2208.08374","title":"A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting","created":"2022-08-17","cited_by_count":1,"area":null},{"id":"2305.12623","title":"Strategy Extraction in Single-Agent Games","created":"2023-05-22","cited_by_count":1,"area":null},{"id":"2309.11753","title":"Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language","created":"2023-09-21","cited_by_count":1,"area":null},{"id":"2311.02787","title":"Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with Tools","created":"2023-11-05","cited_by_count":1,"area":null},{"id":"2311.16807","title":"Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning","created":"2023-11-28","cited_by_count":1,"area":null},{"id":"2508.05535","title":"Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation","created":"2025-08-07","cited_by_count":1,"area":null},{"id":"2509.00074","title":"Language and Experience: A Computational Model of Social Learning in Complex Tasks","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2107.09285","title":"Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning","created":"2021-07-20","cited_by_count":0,"area":null},{"id":"2202.00466","title":"Learning Invariable Semantical Representation from Language for Extensible Policy Generalization","created":"2022-01-26","cited_by_count":0,"area":null},{"id":"2407.05580","title":"$\\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model","created":"2024-07-08","cited_by_count":0,"area":null},{"id":"2512.01616","title":"CLIP-RL: Aligning Language and Policy Representations for Task Transfer in Reinforcement Learning","created":"2025-12-01","cited_by_count":0,"area":null}],"next_cursor":null}