{"total":109,"rows":[{"id":"2306.03310","title":"LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning","created":"2023-06-05","cited_by_count":1410,"area":null},{"id":"2108.10470","title":"Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning","created":"2021-08-24","cited_by_count":998,"area":null},{"id":"2108.03298","title":"What Matters in Learning from Offline Human Demonstrations for Robot Manipulation","created":"2021-08-06","cited_by_count":725,"area":"offlinerl"},{"id":"2210.03094","title":"VIMA: General Robot Manipulation with Multimodal Prompts","created":"2022-10-06","cited_by_count":407,"area":null},{"id":"2103.02582","title":"D'ya like DAGs? A Survey on Structure Learning and Causal Discovery","created":"2021-03-03","cited_by_count":211,"area":null},{"id":"2102.11107","title":"Towards Causal Representation Learning","created":"2021-02-22","cited_by_count":209,"area":null},{"id":"2407.06886","title":"Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI","created":"2024-07-09","cited_by_count":179,"area":null},{"id":"2111.09794","title":"A Survey of Zero-shot Generalisation in Deep Reinforcement Learning","created":"2021-11-18","cited_by_count":170,"area":null},{"id":"2105.10919","title":"Continual World: A Robotic Benchmark For Continual Reinforcement Learning","created":"2021-05-23","cited_by_count":116,"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":"2103.01937","title":"Neural Production Systems: Learning Rule-Governed Visual Dynamics","created":"2021-03-02","cited_by_count":75,"area":null},{"id":"2204.04875","title":"Learning to Induce Causal Structure","created":"2022-04-11","cited_by_count":68,"area":null},{"id":"2206.08522","title":"VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation","created":"2022-06-17","cited_by_count":68,"area":null},{"id":"2206.01101","title":"Weakly Supervised Representation Learning with Sparse Perturbations","created":"2022-06-02","cited_by_count":65,"area":null},{"id":"2305.10032","title":"A Survey on Causal Discovery: Theory and Practice","created":"2023-05-17","cited_by_count":63,"area":null},{"id":"2107.00848","title":"Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning","created":"2021-07-02","cited_by_count":53,"area":null},{"id":"2202.08417","title":"Retrieval-Augmented Reinforcement Learning","created":"2022-02-17","cited_by_count":53,"area":"rag"},{"id":"2302.04419","title":"An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning","created":"2023-02-09","cited_by_count":49,"area":null},{"id":"2503.24278","title":"AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World","created":"2025-03-31","cited_by_count":48,"area":null},{"id":"2302.05209","title":"A Survey on Causal Reinforcement Learning","created":"2023-02-10","cited_by_count":45,"area":null},{"id":"2108.09779","title":"Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger","created":"2021-08-22","cited_by_count":38,"area":null},{"id":"2306.09643","title":"BISCUIT: Causal Representation Learning from Binary Interactions","created":"2023-06-16","cited_by_count":38,"area":null},{"id":"2502.10550","title":"Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning","created":"2025-02-14","cited_by_count":36,"area":"deeprl"},{"id":"2207.09081","title":"Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning","created":"2022-07-19","cited_by_count":34,"area":"lr"},{"id":"2104.08015","title":"On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results","created":"2021-04-16","cited_by_count":32,"area":null},{"id":"2402.06665","title":"The Essential Role of Causality in Foundation World Models for Embodied AI","created":"2024-02-06","cited_by_count":32,"area":"wm"},{"id":"2207.07730","title":"How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition","created":"2022-07-15","cited_by_count":27,"area":null},{"id":"2309.01038","title":"Neurosymbolic Reinforcement Learning and Planning: A Survey","created":"2023-09-02","cited_by_count":24,"area":null},{"id":"2106.13364","title":"CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning","created":"2021-06-25","cited_by_count":23,"area":null},{"id":"2202.02896","title":"Evaluation Methods and Measures for Causal Learning Algorithms","created":"2022-02-07","cited_by_count":23,"area":null},{"id":"2307.01452","title":"Causal Reinforcement Learning: A Survey","created":"2023-07-04","cited_by_count":23,"area":null},{"id":"2203.13733","title":"Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning","created":"2022-03-15","cited_by_count":22,"area":null},{"id":"2301.05169","title":"Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning","created":"2023-01-12","cited_by_count":22,"area":null},{"id":"2207.04136","title":"CompoSuite: A Compositional Reinforcement Learning Benchmark","created":"2022-07-08","cited_by_count":21,"area":null},{"id":"2201.13388","title":"Compositional Multi-Object Reinforcement Learning with Linear Relation Networks","created":"2022-01-31","cited_by_count":19,"area":null},{"id":"2110.11875","title":"GeneDisco: A Benchmark for Experimental Design in Drug Discovery","created":"2021-10-22","cited_by_count":18,"area":null},{"id":"2207.11240","title":"Discrete Key-Value Bottleneck","created":"2022-07-22","cited_by_count":18,"area":null},{"id":"2412.01953","title":"The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications","created":"2024-12-02","cited_by_count":18,"area":null},{"id":"2501.03151","title":"Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches","created":"2025-01-06","cited_by_count":18,"area":"mllm"},{"id":"2310.12020","title":"LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation","created":"2023-10-18","cited_by_count":17,"area":null},{"id":"2410.11767","title":"Analyzing (In)Abilities of SAEs via Formal Languages","created":"2024-10-15","cited_by_count":17,"area":"mechinterp"},{"id":"2206.11131","title":"Variational Causal Dynamics: Discovering Modular World Models from Interventions","created":"2022-06-22","cited_by_count":16,"area":"wm"},{"id":"2201.08186","title":"Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations","created":"2022-01-20","cited_by_count":14,"area":null},{"id":"2206.08353","title":"Towards Understanding How Machines Can Learn Causal Overhypotheses","created":"2022-06-16","cited_by_count":14,"area":null},{"id":"2302.06975","title":"A Review of the Role of Causality in Developing Trustworthy AI Systems","created":"2023-02-14","cited_by_count":14,"area":null},{"id":"2107.05686","title":"The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents","created":"2021-07-12","cited_by_count":12,"area":null},{"id":"2601.16973","title":"VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents","created":"2026-01-23","cited_by_count":11,"area":"mllm"},{"id":"2108.13696","title":"Phy-Q as a measure for physical reasoning intelligence","created":"2021-08-31","cited_by_count":10,"area":null},{"id":"2405.16718","title":"Amortized Active Causal Induction with Deep Reinforcement Learning","created":"2024-05-26","cited_by_count":10,"area":"deeprl"},{"id":"2501.16443","title":"Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning","created":"2025-01-27","cited_by_count":10,"area":"wm"},{"id":"2506.01361","title":"TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery","created":"2025-06-02","cited_by_count":10,"area":null},{"id":"2310.07665","title":"Deep Backtracking Counterfactuals for Causally Compliant Explanations","created":"2023-10-11","cited_by_count":9,"area":null},{"id":"2407.13054","title":"Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data","created":"2024-07-17","cited_by_count":8,"area":null},{"id":"2605.27589","title":"What-If World: A Causal Benchmark for General World Models in Embodied Scenarios","created":"2026-05-26","cited_by_count":8,"area":"wm"},{"id":"2202.10430","title":"Learning Causal Overhypotheses through Exploration in Children and Computational Models","created":"2022-02-21","cited_by_count":7,"area":null},{"id":"2303.16194","title":"BC-IRL: Learning Generalizable Reward Functions from Demonstrations","created":"2023-03-28","cited_by_count":7,"area":"offlinerl"},{"id":"2306.02204","title":"Cycle Consistency Driven Object Discovery","created":"2023-06-03","cited_by_count":7,"area":null},{"id":"2310.04706","title":"Offline Imitation Learning with Variational Counterfactual Reasoning","created":"2023-10-07","cited_by_count":7,"area":"offlinerl"},{"id":"2402.03590","title":"Assessing the Impact of Distribution Shift on Reinforcement Learning Performance","created":"2024-02-05","cited_by_count":7,"area":"deeprl"},{"id":"2403.00233","title":"Causal Bandits with General Causal Models and Interventions","created":"2024-03-01","cited_by_count":7,"area":null},{"id":"2410.08870","title":"Can we hop in general? A discussion of benchmark selection and design using the Hopper environment","created":"2024-10-11","cited_by_count":7,"area":"deeprl"},{"id":"2502.15679","title":"BOSS: Benchmark for Observation Space Shift in Long-Horizon Task","created":"2025-02-21","cited_by_count":7,"area":"offlinerl"},{"id":"2307.07091","title":"Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning","created":"2023-07-13","cited_by_count":6,"area":"offlinerl"},{"id":"2603.07432","title":"Generalization in Online Reinforcement Learning for Mobile Agents","created":"2026-03-08","cited_by_count":6,"area":"lr"},{"id":"2211.05551","title":"Causal Counterfactuals for Improving the Robustness of Reinforcement Learning","created":"2022-11-02","cited_by_count":5,"area":null},{"id":"2411.02383","title":"Linear Causal Bandits: Unknown Graph and Soft Interventions","created":"2024-11-04","cited_by_count":5,"area":null},{"id":"2502.20099","title":"Sanity Checking Causal Representation Learning on a Simple Real-World System","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2310.05086","title":"Learning Generalizable Agents via Saliency-Guided Features Decorrelation","created":"2023-10-08","cited_by_count":4,"area":null},{"id":"2310.17178","title":"Relational Object-Centric Actor-Critic","created":"2023-10-26","cited_by_count":4,"area":"wm"},{"id":"2310.19794","title":"Robust Causal Bandits for Linear Models","created":"2023-10-30","cited_by_count":4,"area":null},{"id":"2110.03032","title":"Learning Multi-Objective Curricula for Robotic Policy Learning","created":"2021-10-06","cited_by_count":3,"area":null},{"id":"2207.08192","title":"BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment","created":"2022-07-17","cited_by_count":3,"area":null},{"id":"2307.04988","title":"Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation","created":"2023-07-11","cited_by_count":3,"area":null},{"id":"2410.02844","title":"CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series","created":"2024-10-03","cited_by_count":3,"area":null},{"id":"2609.20800","title":"JEPA-Anything: Learning Predictive Models across Different Worlds","created":"2026-09-17","cited_by_count":3,"area":"wm"},{"id":"2110.15489","title":"GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL","created":"2021-10-29","cited_by_count":2,"area":null},{"id":"2303.01711","title":"NovPhy: A Testbed for Physical Reasoning in Open-world Environments","created":"2023-03-03","cited_by_count":2,"area":"lr"},{"id":"2403.17266","title":"Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning","created":"2024-03-25","cited_by_count":2,"area":"deeprl"},{"id":"2404.05746","title":"Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2606.29315","title":"Hierarchical Experimentalist Agents","created":"2026-06-28","cited_by_count":2,"area":"agents"},{"id":"2608.04396","title":"CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention","created":"2026-08-05","cited_by_count":2,"area":"vla"},{"id":"2608.14441","title":"PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments","created":"2026-08-14","cited_by_count":2,"area":null},{"id":"2106.09692","title":"Hi-Phy: A Benchmark for Hierarchical Physical Reasoning","created":"2021-06-17","cited_by_count":1,"area":null},{"id":"2111.08733","title":"Learning Provably Robust Motion Planners Using Funnel Libraries","created":"2021-11-16","cited_by_count":1,"area":null},{"id":"2306.08537","title":"VIBR: Learning View-Invariant Value Functions for Robust Visual Control","created":"2023-06-14","cited_by_count":1,"area":null},{"id":"2501.13241","title":"State Combinatorial Generalization In Decision Making With Conditional Diffusion Models","created":"2025-01-22","cited_by_count":1,"area":"diffusion"},{"id":"2507.02910","title":"Causal-Paced Deep Reinforcement Learning","created":"2025-06-24","cited_by_count":1,"area":"deeprl"},{"id":"2601.06604","title":"Object-Centric World Models Meet Monte Carlo Tree Search","created":"2026-01-10","cited_by_count":1,"area":"wm"},{"id":"2605.06066","title":"Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark","created":"2026-05-07","cited_by_count":1,"area":"wm"},{"id":"2605.18617","title":"ManiSoft: Towards Vision-Language Manipulation for Soft Continuum Robotics","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2202.08388","title":"Generalizable Information Theoretic Causal Representation","created":"2022-02-17","cited_by_count":0,"area":null},{"id":"2203.10351","title":"The Sandbox Environment for Generalizable Agent Research (SEGAR)","created":"2022-03-19","cited_by_count":0,"area":null},{"id":"2308.02835","title":"Physics-Based Task Generation through Causal Sequence of Physical Interactions","created":"2023-08-05","cited_by_count":0,"area":null},{"id":"2403.14488","title":"COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2407.00744","title":"Disentangled Representations for Causal Cognition","created":"2024-06-30","cited_by_count":0,"area":"deeprl"},{"id":"2502.09395","title":"Robot Pouring: Identifying Causes of Spillage and Selecting Alternative Action Parameters Using Probabilistic Actual Causation","created":"2025-02-13","cited_by_count":0,"area":null},{"id":"2505.10522","title":"Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation","created":"2025-05-15","cited_by_count":0,"area":"deeprl"},{"id":"2510.18515","title":"Socialized Learning and Emergent Behaviors in Multi-Agent Systems based on Multimodal Large Language Models","created":"2025-10-21","cited_by_count":0,"area":"agents"},{"id":"2510.24030","title":"Human Machine Social Hybrid Intelligence:A Collaborative Decision Making Framework for Large Model Agent Groups and Human Experts","created":"2025-10-28","cited_by_count":0,"area":"agents"},{"id":"2603.12305","title":"HCP-DCNet: A Hierarchical Causal Primitive Dynamic Composition Network for Self-Improving Causal Understanding","created":"2026-03-12","cited_by_count":0,"area":null}],"next_cursor":"100"}