{"total":75,"rows":[{"id":"2204.01691","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","created":"2022-04-04","cited_by_count":2348,"area":null},{"id":"2210.13382","title":"Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task","created":"2022-10-24","cited_by_count":431,"area":null},{"id":"2210.03094","title":"VIMA: General Robot Manipulation with Multimodal Prompts","created":"2022-10-06","cited_by_count":407,"area":null},{"id":"2210.06407","title":"Interactive Language: Talking to Robots in Real Time","created":"2022-10-12","cited_by_count":218,"area":null},{"id":"2302.02662","title":"Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning","created":"2023-02-06","cited_by_count":195,"area":null},{"id":"2302.06692","title":"Guiding Pretraining in Reinforcement Learning with Large Language Models","created":"2023-02-13","cited_by_count":187,"area":null},{"id":"2103.14675","title":"Synthesis of Compositional Animations from Textual Descriptions","created":"2021-03-26","cited_by_count":178,"area":null},{"id":"2102.06177","title":"Multi-Task Reinforcement Learning with Context-based Representations","created":"2021-02-11","cited_by_count":174,"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":"2212.00922","title":"Navigating to Objects in the Real World","created":"2022-12-02","cited_by_count":106,"area":null},{"id":"2209.04899","title":"Instruction-driven history-aware policies for robotic manipulations","created":"2022-09-11","cited_by_count":94,"area":null},{"id":"2301.07302","title":"PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav","created":"2023-01-18","cited_by_count":93,"area":null},{"id":"2107.05612","title":"A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution","created":"2021-07-12","cited_by_count":91,"area":null},{"id":"2102.06858","title":"LTL2Action: Generalizing LTL Instructions for Multi-Task RL","created":"2021-02-13","cited_by_count":74,"area":null},{"id":"2102.13249","title":"Chess as a Testbed for Language Model State Tracking","created":"2021-02-26","cited_by_count":72,"area":null},{"id":"2404.10179","title":"Scaling Instructable Agents Across Many Simulated Worlds","created":"2024-03-13","cited_by_count":71,"area":null},{"id":"2306.01711","title":"OMNI: Open-endedness via Models of human Notions of Interestingness","created":"2023-06-02","cited_by_count":70,"area":null},{"id":"2306.11816","title":"Learning to Generate Better Than Your LLM","created":"2023-06-20","cited_by_count":49,"area":null},{"id":"2210.06849","title":"Retrospectives on the Embodied AI Workshop","created":"2022-10-13","cited_by_count":46,"area":null},{"id":"2101.07393","title":"Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning","created":"2021-01-19","cited_by_count":45,"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":"2105.08710","title":"Fast and Slow Learning of Recurrent Independent Mechanisms","created":"2021-05-18","cited_by_count":36,"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":"2111.03205","title":"LILA: Language-Informed Latent Actions","created":"2021-11-05","cited_by_count":27,"area":null},{"id":"2102.07024","title":"Interactive Learning from Activity Description","created":"2021-02-13","cited_by_count":26,"area":null},{"id":"2102.03406","title":"Symbolic Behaviour in Artificial Intelligence","created":"2021-02-05","cited_by_count":25,"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":"2205.11558","title":"Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines","created":"2022-05-23","cited_by_count":20,"area":null},{"id":"2101.00240","title":"A Survey on Deep Reinforcement Learning for Audio-Based Applications","created":"2021-01-01","cited_by_count":17,"area":null},{"id":"2304.10782","title":"Contrastive Language, Action, and State Pre-training for Robot Learning","created":"2023-04-21","cited_by_count":16,"area":null},{"id":"2109.12243","title":"Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?","created":"2021-09-25","cited_by_count":15,"area":null},{"id":"2203.13685","title":"Learning to Mediate Disparities Towards Pragmatic Communication","created":"2022-03-25","cited_by_count":14,"area":null},{"id":"2206.01134","title":"Language and Culture Internalisation for Human-Like Autotelic AI","created":"2022-06-02","cited_by_count":14,"area":null},{"id":"2110.08258","title":"A Framework for Learning to Request Rich and Contextually Useful Information from Humans","created":"2021-10-14","cited_by_count":12,"area":null},{"id":"2110.10661","title":"SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark","created":"2021-10-20","cited_by_count":11,"area":null},{"id":"2304.03767","title":"Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following","created":"2023-04-07","cited_by_count":9,"area":null},{"id":"2212.04401","title":"A Rubric for Human-like Agents and NeuroAI","created":"2022-12-08","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":"2105.09992","title":"Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness","created":"2021-05-20","cited_by_count":7,"area":null},{"id":"2106.08858","title":"Grounding Spatio-Temporal Language with Transformers","created":"2021-06-16","cited_by_count":7,"area":null},{"id":"2107.00956","title":"SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents","created":"2021-07-02","cited_by_count":7,"area":null},{"id":"2108.02846","title":"Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene","created":"2021-08-05","cited_by_count":7,"area":null},{"id":"2108.09823","title":"Embodied AI-Driven Operation of Smart Cities: A Concise Review","created":"2021-08-22","cited_by_count":6,"area":null},{"id":"2206.05751","title":"Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation","created":"2022-06-12","cited_by_count":6,"area":null},{"id":"2305.13668","title":"Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations","created":"2023-05-23","cited_by_count":6,"area":null},{"id":"2109.02823","title":"Learning Visual-Audio Representations for Voice-Controlled Robots","created":"2021-09-07","cited_by_count":5,"area":null},{"id":"2109.03554","title":"Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning","created":"2021-09-08","cited_by_count":5,"area":null},{"id":"2109.14115","title":"Visually Grounded Concept Composition","created":"2021-09-29","cited_by_count":5,"area":null},{"id":"2110.04649","title":"Interactive Hierarchical Guidance using Language","created":"2021-10-09","cited_by_count":5,"area":null},{"id":"2205.13274","title":"Evaluating Multimodal Interactive Agents","created":"2022-05-26","cited_by_count":5,"area":null},{"id":"2206.03139","title":"Intra-agent speech permits zero-shot task acquisition","created":"2022-06-07","cited_by_count":5,"area":null},{"id":"2304.14511","title":"Visual Referential Games Further the Emergence of Disentangled Representations","created":"2023-04-27","cited_by_count":5,"area":null},{"id":"2207.02518","title":"Compositional Generalization in Grounded Language Learning via Induced Model Sparsity","created":"2022-07-06","cited_by_count":4,"area":null},{"id":"2405.04118","title":"Policy Learning with a Language Bottleneck","created":"2024-05-07","cited_by_count":4,"area":null},{"id":"2109.04652","title":"Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining","created":"2021-09-10","cited_by_count":3,"area":null},{"id":"2306.08400","title":"Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning","created":"2023-06-14","cited_by_count":3,"area":null},{"id":"2501.10476","title":"Revisiting Rogers' Paradox in the Context of Human-AI Interaction","created":"2025-01-16","cited_by_count":2,"area":null},{"id":"2104.06645","title":"Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention","created":"2021-04-14","cited_by_count":1,"area":null},{"id":"2105.00762","title":"VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agents","created":"2021-05-03","cited_by_count":1,"area":null},{"id":"2209.02066","title":"Trust in Language Grounding: a new AI challenge for human-robot teams","created":"2022-09-05","cited_by_count":1,"area":null},{"id":"2209.04665","title":"Ask Before You Act: Generalising to Novel Environments by Asking Questions","created":"2022-09-10","cited_by_count":1,"area":null},{"id":"2211.10168","title":"Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections","created":"2022-11-18","cited_by_count":1,"area":null},{"id":"2309.00743","title":"Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains","created":"2023-09-01","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":"2407.08898","title":"IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents","created":"2024-07-12","cited_by_count":1,"area":null},{"id":"2102.02153","title":"Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised","created":"2021-02-03","cited_by_count":0,"area":null},{"id":"2108.03793","title":"Toward Human-Level Artificial Intelligence","created":"2021-08-09","cited_by_count":0,"area":null},{"id":"2110.06477","title":"Feudal Reinforcement Learning by Reading Manuals","created":"2021-10-13","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":"2211.08467","title":"Structured Exploration Through Instruction Enhancement for Object Navigation","created":"2022-11-15","cited_by_count":0,"area":null},{"id":"2211.11956","title":"A Short Survey of Systematic Generalization","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2307.15494","title":"ETHER: Aligning Emergent Communication for Hindsight Experience Replay","created":"2023-07-28","cited_by_count":0,"area":null},{"id":"2404.03049","title":"Language, Environment, and Robotic Navigation","created":"2024-04-03","cited_by_count":0,"area":null}],"next_cursor":null}