{"list":"other","total":59,"rows":[{"id":"1707.06347","title":"Proximal Policy Optimization Algorithms","created":"2017-07-20","cited_by_count":15215},{"id":"1801.01290","title":"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor","created":"2018-01-04","cited_by_count":4885},{"id":"2303.04137","title":"Diffusion Policy: Visuomotor Policy Learning via Action Diffusion","created":"2023-03-07","cited_by_count":2838},{"id":"2504.16054","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","created":"2025-04-22","cited_by_count":1761},{"id":"2304.13705","title":"Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware","created":"2023-04-23","cited_by_count":1568},{"id":"1805.08296","title":"Data-Efficient Hierarchical Reinforcement Learning","created":"2018-05-21","cited_by_count":455},{"id":"2206.14176","title":"DayDreamer: World Models for Physical Robot Learning","created":"2022-06-28","cited_by_count":400},{"id":"2511.14759","title":"$\\pi^{*}_{0.6}$: a VLA That Learns From Experience","created":"2025-11-18","cited_by_count":303},{"id":"1810.02890","title":"HG-DAgger: Interactive Imitation Learning with Human Experts","created":"2018-10-05","cited_by_count":266},{"id":"2410.21845","title":"Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning","created":"2024-10-29","cited_by_count":189},{"id":"2306.00958","title":"LIV: Language-Image Representations and Rewards for Robotic Control","created":"2023-06-01","cited_by_count":188},{"id":"2502.05450","title":"ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy","created":"2025-02-08","cited_by_count":154},{"id":"2401.16013","title":"SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning","created":"2024-01-29","cited_by_count":136},{"id":"2211.08416","title":"Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment","created":"2022-11-15","cited_by_count":108},{"id":"2505.19789","title":"What Can RL Bring to VLA Generalization? An Empirical Study","created":"2025-05-26","cited_by_count":108},{"id":"2505.22094","title":"ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning","created":"2025-05-28","cited_by_count":97},{"id":"2405.15177","title":"Diffusion Actor-Critic with Entropy Regulator","created":"2024-05-24","cited_by_count":94},{"id":"2407.16677","title":"From Imitation to Refinement -- Residual RL for Precise Assembly","created":"2024-07-23","cited_by_count":90},{"id":"1810.06045","title":"Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost","created":"2018-10-14","cited_by_count":84},{"id":"2412.06685","title":"Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone","created":"2024-12-09","cited_by_count":79},{"id":"2110.05457","title":"Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World","created":"2021-10-11","cited_by_count":71},{"id":"2502.00361","title":"Efficient Online Reinforcement Learning for Diffusion Policy","created":"2025-02-01","cited_by_count":71},{"id":"2412.07762","title":"Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data","created":"2024-12-10","cited_by_count":63},{"id":"2505.10911","title":"ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations","created":"2025-05-16","cited_by_count":60},{"id":"2405.10315","title":"TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction","created":"2024-05-16","cited_by_count":59},{"id":"2509.19301","title":"Residual Off-Policy RL for Finetuning Behavior Cloning Policies","created":"2025-09-23","cited_by_count":55},{"id":"2502.13508","title":"VLAS: Vision-Language-Action Model With Speech Instructions For Customized Robot Manipulation","created":"2025-02-19","cited_by_count":51},{"id":"2202.10341","title":"Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization","created":"2022-02-17","cited_by_count":49},{"id":"2503.24278","title":"AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World","created":"2025-03-31","cited_by_count":48},{"id":"2412.09858","title":"RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning","created":"2024-12-13","cited_by_count":47},{"id":"2509.07953","title":"RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction","created":"2025-09-09","cited_by_count":39},{"id":"2411.16627","title":"Inference-Time Policy Steering through Human Interactions","created":"2024-11-25","cited_by_count":38},{"id":"2303.01488","title":"Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning","created":"2023-03-02","cited_by_count":34},{"id":"2410.06237","title":"BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation","created":"2024-10-08","cited_by_count":32},{"id":"2503.05652","title":"BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities","created":"2025-03-07","cited_by_count":31},{"id":"2403.07869","title":"TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation","created":"2024-03-12","cited_by_count":30},{"id":"2412.06782","title":"CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction","created":"2024-12-09","cited_by_count":27},{"id":"2410.14972","title":"MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning","created":"2024-10-19","cited_by_count":23},{"id":"2507.01961","title":"AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation","created":"2025-07-02","cited_by_count":23},{"id":"2205.05212","title":"A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning","created":"2022-05-11","cited_by_count":22},{"id":"2409.20568","title":"Continuously Improving Mobile Manipulation with Autonomous Real-World RL","created":"2024-09-30","cited_by_count":22},{"id":"2305.04866","title":"Causal Policy Gradient for Whole-Body Mobile Manipulation","created":"2023-05-04","cited_by_count":21},{"id":"2409.10319","title":"Catch It! Learning to Catch in Flight with Mobile Dexterous Hands","created":"2024-09-16","cited_by_count":16},{"id":"2309.03322","title":"REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation","created":"2023-09-06","cited_by_count":15},{"id":"2502.13519","title":"MILE: Model-based Intervention Learning","created":"2025-02-19","cited_by_count":10},{"id":"2508.11049","title":"GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning","created":"2025-08-14","cited_by_count":9},{"id":"2503.03796","title":"Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm","created":"2025-03-05","cited_by_count":6},{"id":"2506.15847","title":"SafeMimic: Towards Safe and Autonomous Human-to-Robot Imitation for Mobile Manipulation","created":"2025-06-18","cited_by_count":6},{"id":"2410.03626","title":"Robust Offline Imitation Learning from Diverse Auxiliary Data","created":"2024-10-04","cited_by_count":5},{"id":"2507.04452","title":"SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training","created":"2025-07-06","cited_by_count":5},{"id":"2603.25740","title":"Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving","created":"2026-03-26","cited_by_count":5},{"id":"2511.18617","title":"AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations","created":"2025-11-23","cited_by_count":4},{"id":"2510.14968","title":"RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks","created":"2025-10-16","cited_by_count":3},{"id":"2602.00414","title":"Toward Autonomous Laboratory Safety Monitoring with Vision Language Models: Learning to See Hazards Through Scene Structure","created":"2026-01-31","cited_by_count":3},{"id":"2602.06038","title":"CommCP: Efficient Multi-Agent Coordination via LLM-Based Communication with Conformal Prediction","created":"2026-02-05","cited_by_count":3},{"id":"2509.12562","title":"Robust Online Residual Refinement via Koopman-Guided Dynamics Modeling","created":"2025-09-16","cited_by_count":2},{"id":"2511.03400","title":"GUIDES: Guidance Using Instructor-Distilled Embeddings for Pre-trained Robot Policy Enhancement","created":"2025-11-05","cited_by_count":1},{"id":"2603.19229","title":"NavTrust: Benchmarking Trustworthiness for Embodied Navigation","created":"2026-03-19","cited_by_count":1},{"id":"2603.28053","title":"Reducing Oracle Feedback with Vision-Language Embeddings for Preference-Based RL","created":"2026-03-30","cited_by_count":1}],"next_cursor":null}