{"total":71,"rows":[{"id":"2206.14176","title":"DayDreamer: World Models for Physical Robot Learning","created":"2022-06-28","cited_by_count":400,"area":"wm"},{"id":"2408.03539","title":"Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes","created":"2024-08-07","cited_by_count":176,"area":"deeprl"},{"id":"2309.14341","title":"Extreme Parkour with Legged Robots","created":"2023-09-25","cited_by_count":164,"area":null},{"id":"2211.07638","title":"Legged Locomotion in Challenging Terrains using Egocentric Vision","created":"2022-11-14","cited_by_count":151,"area":null},{"id":"2309.05665","title":"Robot Parkour Learning","created":"2023-09-11","cited_by_count":149,"area":null},{"id":"2210.10044","title":"Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion","created":"2022-10-18","cited_by_count":121,"area":null},{"id":"2401.16889","title":"Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control","created":"2024-01-30","cited_by_count":99,"area":"deeprl"},{"id":"2208.07860","title":"A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning","created":"2022-08-16","cited_by_count":83,"area":"wm"},{"id":"2401.08392","title":"DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)","created":"2024-01-16","cited_by_count":58,"area":"agents"},{"id":"2112.02094","title":"Coupling Vision and Proprioception for Navigation of Legged Robots","created":"2021-12-03","cited_by_count":51,"area":null},{"id":"2209.05309","title":"GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots","created":"2022-09-12","cited_by_count":48,"area":null},{"id":"2309.09969","title":"Prompt a Robot to Walk with Large Language Models","created":"2023-09-18","cited_by_count":45,"area":null},{"id":"2305.14654","title":"Barkour: Benchmarking Animal-level Agility with Quadruped Robots","created":"2023-05-24","cited_by_count":41,"area":null},{"id":"2304.01159","title":"DribbleBot: Dynamic Legged Manipulation in the Wild","created":"2023-04-03","cited_by_count":40,"area":null},{"id":"2208.01160","title":"Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot","created":"2022-08-01","cited_by_count":38,"area":null},{"id":"2302.09450","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","created":"2023-02-19","cited_by_count":36,"area":null},{"id":"2303.01488","title":"Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning","created":"2023-03-02","cited_by_count":34,"area":null},{"id":"2407.20635","title":"Autonomous Improvement of Instruction Following Skills via Foundation Models","created":"2024-07-30","cited_by_count":32,"area":null},{"id":"2401.14403","title":"Adaptive Mobile Manipulation for Articulated Objects In the Open World","created":"2024-01-25","cited_by_count":31,"area":null},{"id":"2203.05194","title":"Learning Torque Control for Quadrupedal Locomotion","created":"2022-03-10","cited_by_count":29,"area":null},{"id":"2404.12308","title":"ASID: Active Exploration for System Identification in Robotic Manipulation","created":"2024-04-18","cited_by_count":28,"area":"deeprl"},{"id":"2311.03351","title":"Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization","created":"2023-11-06","cited_by_count":26,"area":"offlinerl"},{"id":"2205.05212","title":"A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning","created":"2022-05-11","cited_by_count":22,"area":null},{"id":"2409.20568","title":"Continuously Improving Mobile Manipulation with Autonomous Real-World RL","created":"2024-09-30","cited_by_count":22,"area":null},{"id":"2310.16686","title":"Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies","created":"2023-10-25","cited_by_count":20,"area":null},{"id":"2403.20328","title":"Learning Visual Quadrupedal Loco-Manipulation from Demonstrations","created":"2024-03-29","cited_by_count":20,"area":null},{"id":"2502.02705","title":"Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning","created":"2025-02-04","cited_by_count":17,"area":null},{"id":"2410.09163","title":"Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models","created":"2024-10-11","cited_by_count":16,"area":"deeprl"},{"id":"2407.02666","title":"Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models","created":"2024-07-02","cited_by_count":15,"area":"lr"},{"id":"2309.14246","title":"Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning","created":"2023-09-25","cited_by_count":14,"area":null},{"id":"2409.13678","title":"SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged Experience","created":"2024-09-20","cited_by_count":14,"area":"deeprl"},{"id":"2309.03315","title":"Robotic Table Tennis: A Case Study into a High Speed Learning System","created":"2023-09-06","cited_by_count":13,"area":null},{"id":"2409.15755","title":"Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach","created":"2024-09-24","cited_by_count":13,"area":"deeprl"},{"id":"2312.14227","title":"ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection","created":"2023-12-21","cited_by_count":12,"area":null},{"id":"2212.08954","title":"Cascaded Compositional Residual Learning for Complex Interactive Behaviors","created":"2022-12-17","cited_by_count":10,"area":null},{"id":"2501.07468","title":"From Screens to Scenes: A Survey of Embodied AI in Healthcare","created":"2025-01-13","cited_by_count":10,"area":null},{"id":"2410.00231","title":"Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models","created":"2024-09-30","cited_by_count":8,"area":null},{"id":"2306.17101","title":"Identifying Important Sensory Feedback for Learning Locomotion Skills","created":"2023-06-29","cited_by_count":6,"area":null},{"id":"2603.15759","title":"Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation","created":"2026-03-16","cited_by_count":6,"area":"wm"},{"id":"2403.01734","title":"Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy","created":"2024-03-04","cited_by_count":5,"area":"offlinerl"},{"id":"2311.18393","title":"Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control","created":"2023-11-30","cited_by_count":4,"area":null},{"id":"2310.10606","title":"BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning","created":"2023-10-16","cited_by_count":3,"area":null},{"id":"2504.09532","title":"Humanoid Agent via Embodied Chain-of-Action Reasoning with Multimodal Foundation Models for Zero-Shot Loco-Manipulation","created":"2025-04-13","cited_by_count":3,"area":"agents"},{"id":"2602.20220","title":"What Matters for Simulation to Online Reinforcement Learning on Real Robots","created":"2026-02-23","cited_by_count":3,"area":"deeprl"},{"id":"2210.04819","title":"Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors","created":"2022-10-10","cited_by_count":2,"area":null},{"id":"2309.12560","title":"Machine Learning Meets Advanced Robotic Manipulation","created":"2023-09-22","cited_by_count":2,"area":null},{"id":"2403.01962","title":"An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement","created":"2024-03-04","cited_by_count":2,"area":"wm"},{"id":"2409.17992","title":"LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots","created":"2024-09-26","cited_by_count":2,"area":"deeprl"},{"id":"2503.05696","title":"A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation","created":"2025-03-07","cited_by_count":2,"area":"deeprl"},{"id":"2503.17626","title":"Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots","created":"2025-03-22","cited_by_count":2,"area":"deeprl"},{"id":"2505.02483","title":"Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning","created":"2025-05-05","cited_by_count":2,"area":null},{"id":"2602.00678","title":"Toward Reliable Sim-to-Real Predictability for MoE-based Robust Quadrupedal Locomotion","created":"2026-01-31","cited_by_count":2,"area":"deeprl"},{"id":"2604.10974","title":"Robust Adversarial Policy Optimization Under Dynamics Uncertainty","created":"2026-04-13","cited_by_count":2,"area":"deeprl"},{"id":"2607.18135","title":"Isaac Sim-to-Real: Reinforcement Learning based Locomotion for Quadrupeds","created":"2026-07-20","cited_by_count":2,"area":"deeprl"},{"id":"2608.23831","title":"Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency","created":"2026-08-24","cited_by_count":2,"area":"vla"},{"id":"2409.09473","title":"Learning to enhance multi-legged robot on rugged landscapes","created":"2024-09-14","cited_by_count":1,"area":null},{"id":"2601.21363","title":"Towards Bridging the Gap between Large-Scale Pretraining and Efficient Finetuning for Humanoid Control","created":"2026-01-29","cited_by_count":1,"area":"deeprl"},{"id":"2603.15084","title":"HALO:Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile Motion Skills via Differentiable Simulation","created":"2026-03-16","cited_by_count":1,"area":"deeprl"},{"id":"2603.17092","title":"SLowRL: Safe Low-Rank Adaptation Reinforcement Learning for Locomotion","created":"2026-03-17","cited_by_count":1,"area":"deeprl"},{"id":"2604.07945","title":"Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation","created":"2026-04-09","cited_by_count":1,"area":"deeprl"},{"id":"2606.23640","title":"Learning Process Rewards via Success Visitation Matching for Efficient RL","created":"2026-06-22","cited_by_count":1,"area":"deeprl"},{"id":"2211.03521","title":"On the importance of data collection for training general goal-reaching policies","created":"2022-11-07","cited_by_count":0,"area":null},{"id":"2501.10698","title":"An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning","created":"2025-01-18","cited_by_count":0,"area":"deeprl"},{"id":"2505.00913","title":"Fine-Tuning without Performance Degradation","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2605.24975","title":"Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion","created":"2026-05-24","cited_by_count":0,"area":"deeprl"},{"id":"2607.12114","title":"GaitSpan: Growing Humanoid Locomotion from Walking to Running","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.18365","title":"Towards Torque-Driven Reinforcement Learning for Quadruped Locomotion","created":"2026-07-20","cited_by_count":0,"area":"deeprl"},{"id":"2609.05401","title":"Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"id":"2609.12278","title":"Amortized Low-Rank Adaptation for Model-Based Reinforcement Learning","created":"2026-09-10","cited_by_count":0,"area":"wm"},{"id":"2610.02505","title":"Multi-Fidelity Policy Gradients Stabilize Data-Scarce Reinforcement Learning","created":"2026-10-01","cited_by_count":0,"area":"deeprl"},{"id":"2610.20607","title":"Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}