{"total":123,"rows":[{"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":"2404.14735","title":"Rank2Reward: Learning Shaped Reward Functions from Passive Video","created":"2024-04-23","cited_by_count":32,"area":"deeprl"},{"id":"2404.12308","title":"ASID: Active Exploration for System Identification in Robotic Manipulation","created":"2024-04-18","cited_by_count":28,"area":"deeprl"},{"id":"2406.06092","title":"Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery","created":"2024-06-10","cited_by_count":26,"area":"deeprl"},{"id":"2505.02094","title":"SkillMimic-V2: Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations","created":"2025-05-04","cited_by_count":25,"area":"deeprl"},{"id":"2407.20230","title":"SAPG: Split and Aggregate Policy Gradients","created":"2024-07-29","cited_by_count":21,"area":"deeprl"},{"id":"2404.07099","title":"Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection","created":"2024-04-10","cited_by_count":17,"area":"deeprl"},{"id":"2407.08590","title":"A Review of Nine Physics Engines for Reinforcement Learning Research","created":"2024-07-11","cited_by_count":12,"area":"deeprl"},{"id":"2409.06613","title":"DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots","created":"2024-09-10","cited_by_count":11,"area":"deeprl"},{"id":"2505.19281","title":"A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning","created":"2025-05-25","cited_by_count":11,"area":"deeprl"},{"id":"2507.23172","title":"Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks","created":"2025-07-31","cited_by_count":11,"area":"deeprl"},{"id":"2410.13817","title":"Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation","created":"2024-10-17","cited_by_count":10,"area":"deeprl"},{"id":"2502.20630","title":"Subtask-Aware Visual Reward Learning from Segmented Demonstrations","created":"2025-02-28","cited_by_count":10,"area":"deeprl"},{"id":"2402.10765","title":"Policy Learning for Off-Dynamics RL with Deficient Support","created":"2024-02-16","cited_by_count":9,"area":"deeprl"},{"id":"2405.11982","title":"Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space","created":"2024-05-20","cited_by_count":9,"area":"deeprl"},{"id":"2512.02011","title":"Learning Dexterous Manipulation Skills from Imperfect Simulations","created":"2025-12-01","cited_by_count":9,"area":"deeprl"},{"id":"2411.05614","title":"Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey","created":"2024-11-08","cited_by_count":8,"area":"deeprl"},{"id":"2410.16632","title":"Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control Policies","created":"2024-10-22","cited_by_count":7,"area":"deeprl"},{"id":"2410.20487","title":"Efficient Diversity-based Experience Replay for Deep Reinforcement Learning","created":"2024-10-27","cited_by_count":7,"area":"deeprl"},{"id":"2412.13662","title":"When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?","created":"2024-12-18","cited_by_count":7,"area":"deeprl"},{"id":"2501.08669","title":"SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning","created":"2025-01-15","cited_by_count":7,"area":"deeprl"},{"id":"2503.00496","title":"Flying on Point Clouds with Reinforcement Learning","created":"2025-03-01","cited_by_count":7,"area":"deeprl"},{"id":"2506.04147","title":"SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training","created":"2025-06-04","cited_by_count":7,"area":"deeprl"},{"id":"2405.02676","title":"Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with Physics","created":"2024-05-04","cited_by_count":6,"area":"deeprl"},{"id":"2410.22308","title":"Environment as Policy: Learning to Race in Unseen Tracks","created":"2024-10-29","cited_by_count":6,"area":"deeprl"},{"id":"2505.20619","title":"Gait-Conditioned Reinforcement Learning with Multi-Phase Curriculum for Humanoid Locomotion","created":"2025-05-27","cited_by_count":6,"area":"deeprl"},{"id":"2606.16272","title":"TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation","created":"2026-06-15","cited_by_count":6,"area":"deeprl"},{"id":"2403.02018","title":"Cross Domain Policy Transfer with Effect Cycle-Consistency","created":"2024-03-04","cited_by_count":5,"area":"deeprl"},{"id":"2505.10802","title":"Attention-Based Reward Shaping for Sparse and Delayed Rewards","created":"2025-05-16","cited_by_count":5,"area":"deeprl"},{"id":"2510.21609","title":"Enhancing Tactile-based Reinforcement Learning for Robotic Control","created":"2025-10-24","cited_by_count":5,"area":"deeprl"},{"id":"2401.13447","title":"Symbolic Equation Solving via Reinforcement Learning","created":"2024-01-24","cited_by_count":4,"area":"deeprl"},{"id":"2401.14858","title":"RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning","created":"2024-01-26","cited_by_count":4,"area":"deeprl"},{"id":"2403.05066","title":"Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning","created":"2024-03-08","cited_by_count":4,"area":"deeprl"},{"id":"2408.00309","title":"Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning","created":"2024-08-01","cited_by_count":4,"area":"deeprl"},{"id":"2512.13380","title":"Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning","created":"2025-12-15","cited_by_count":4,"area":"deeprl"},{"id":"2602.01460","title":"Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator","created":"2026-02-01","cited_by_count":4,"area":"deeprl"},{"id":"2607.11874","title":"A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation","created":"2026-07-13","cited_by_count":4,"area":"deeprl"},{"id":"2401.15484","title":"R$\\times$R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training","created":"2024-01-27","cited_by_count":3,"area":"deeprl"},{"id":"2405.19885","title":"Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning","created":"2024-05-30","cited_by_count":3,"area":"deeprl"},{"id":"2407.15083","title":"Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning","created":"2024-07-21","cited_by_count":3,"area":"deeprl"},{"id":"2407.21338","title":"Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks","created":"2024-07-31","cited_by_count":3,"area":"deeprl"},{"id":"2408.07962","title":"Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning","created":"2024-08-15","cited_by_count":3,"area":"deeprl"},{"id":"2408.14747","title":"Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper","created":"2024-08-27","cited_by_count":3,"area":"deeprl"},{"id":"2409.19617","title":"LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World","created":"2024-09-29","cited_by_count":3,"area":"deeprl"},{"id":"2501.17842","title":"From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning","created":"2025-01-29","cited_by_count":3,"area":"deeprl"},{"id":"2505.00530","title":"Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks","created":"2025-05-01","cited_by_count":3,"area":"deeprl"},{"id":"2505.13253","title":"Composing Dextrous Grasping and In-hand Manipulation via Scoring with a Reinforcement Learning Critic","created":"2025-05-19","cited_by_count":3,"area":"deeprl"},{"id":"2603.05995","title":"TADPO: Reinforcement Learning Goes Off-road","created":"2026-03-06","cited_by_count":3,"area":"deeprl"},{"id":"2603.06413","title":"A Reference Architecture of Reinforcement Learning Frameworks","created":"2026-03-06","cited_by_count":3,"area":"deeprl"},{"id":"2403.06880","title":"Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning","created":"2024-03-11","cited_by_count":2,"area":"deeprl"},{"id":"2405.15421","title":"Model-free reinforcement learning with noisy actions for automated experimental control in optics","created":"2024-05-24","cited_by_count":2,"area":"deeprl"},{"id":"2409.09990","title":"SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning","created":"2024-09-16","cited_by_count":2,"area":"deeprl"},{"id":"2411.04098","title":"Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems","created":"2024-11-06","cited_by_count":2,"area":"deeprl"},{"id":"2411.13148","title":"Learning Time-Optimal and Speed-Adjustable Tactile In-Hand Manipulation","created":"2024-11-20","cited_by_count":2,"area":"deeprl"},{"id":"2412.15587","title":"Dexterous Manipulation Based on Prior Dexterous Grasp Pose Knowledge","created":"2024-12-20","cited_by_count":2,"area":"deeprl"},{"id":"2503.04014","title":"Dexterous Grasping with Real-World Robotic Reinforcement Learning","created":"2025-03-06","cited_by_count":2,"area":"deeprl"},{"id":"2504.18084","title":"RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping","created":"2025-04-25","cited_by_count":2,"area":"deeprl"},{"id":"2507.06822","title":"Hierarchical Reinforcement Learning for Articulated Tool Manipulation with Multifingered Hand","created":"2025-07-09","cited_by_count":2,"area":"deeprl"},{"id":"2602.05089","title":"Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning","created":"2026-02-04","cited_by_count":2,"area":"deeprl"},{"id":"2606.06096","title":"OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation","created":"2026-06-04","cited_by_count":2,"area":"deeprl"},{"id":"2608.19182","title":"ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning","created":"2026-08-19","cited_by_count":2,"area":"deeprl"},{"id":"2404.03336","title":"Benchmarking Population-Based Reinforcement Learning across Robotic Tasks with GPU-Accelerated Simulation","created":"2024-04-04","cited_by_count":1,"area":"deeprl"},{"id":"2404.08093","title":"Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms","created":"2024-04-11","cited_by_count":1,"area":"deeprl"},{"id":"2405.10576","title":"An Efficient Learning Control Framework With Sim-to-Real for String-Type Artificial Muscle-Driven Robotic Systems","created":"2024-05-17","cited_by_count":1,"area":"deeprl"},{"id":"2409.05433","title":"State-Novelty Guided Action Persistence in Deep Reinforcement Learning","created":"2024-09-09","cited_by_count":1,"area":"deeprl"},{"id":"2409.11935","title":"Reinforcement Learning with Lie Group Orientations for Robotics","created":"2024-09-18","cited_by_count":1,"area":"deeprl"},{"id":"2410.04719","title":"Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning","created":"2024-10-07","cited_by_count":1,"area":"deeprl"},{"id":"2410.07403","title":"On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous Manipulation","created":"2024-10-09","cited_by_count":1,"area":"deeprl"},{"id":"2412.21004","title":"Weber-Fechner Law in Temporal Difference learning derived from Control as Inference","created":"2024-12-30","cited_by_count":1,"area":"deeprl"},{"id":"2502.16772","title":"Model-Based Exploration in Monitored Markov Decision Processes","created":"2025-02-24","cited_by_count":1,"area":"deeprl"},{"id":"2504.15414","title":"Post-Convergence Sim-to-Real Policy Transfer: A Principled Alternative to Cherry-Picking","created":"2025-04-21","cited_by_count":1,"area":"deeprl"},{"id":"2505.14819","title":"DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation","created":"2025-05-20","cited_by_count":1,"area":"deeprl"},{"id":"2510.25405","title":"Sim-to-Real Gentle Manipulation of Deformable and Fragile Objects with Stress-Guided Reinforcement Learning","created":"2025-10-29","cited_by_count":1,"area":"deeprl"},{"id":"2511.08234","title":"Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning","created":"2025-11-11","cited_by_count":1,"area":"deeprl"},{"id":"2512.19726","title":"Tiny, On-Device Decision Makers with the MiniConv Library","created":"2025-12-17","cited_by_count":1,"area":"deeprl"},{"id":"2601.21845","title":"Constrained Meta Reinforcement Learning with Provable Test-Time Safety","created":"2026-01-29","cited_by_count":1,"area":"deeprl"},{"id":"2602.02532","title":"CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning","created":"2026-01-28","cited_by_count":1,"area":"deeprl"},{"id":"2603.23182","title":"Path Planning and Reinforcement Learning-Driven Control of On-Orbit Free-Flying Multi-Arm Robots","created":"2026-03-24","cited_by_count":1,"area":"deeprl"},{"id":"2604.02348","title":"Contextual Intelligence The Next Leap for Reinforcement Learning","created":"2026-02-17","cited_by_count":1,"area":"deeprl"},{"id":"2605.21429","title":"roto 2.0: The Robot Tactile Olympiad","created":"2026-05-20","cited_by_count":1,"area":"deeprl"},{"id":"2605.28276","title":"Commit to the Bit: Reactive Reinforcement Learning Done Right","created":"2026-05-27","cited_by_count":1,"area":"deeprl"},{"id":"2606.15918","title":"Energy-Efficient Arm Reaching for a Humanoid Robot via Deep Reinforcement Learning with Identified Power Models","created":"2026-06-14","cited_by_count":1,"area":"deeprl"},{"id":"2607.12105","title":"Robust In-Hand Manipulation via Priors in Reinforcement Learning and Mechanical Design","created":"2026-07-13","cited_by_count":1,"area":"deeprl"},{"id":"2609.08853","title":"CAST: Alternating State-Value Targets and Expanded Policy Gradients for Model-Based Reinforcement Learning","created":"2026-09-08","cited_by_count":1,"area":"deeprl"},{"id":"2609.13516","title":"Constraint-Grounded Reinforcement Learning for Variable Impedance Control in Contact-Rich Robotic Insertion","created":"2026-09-11","cited_by_count":1,"area":"deeprl"},{"id":"2609.14878","title":"Real-World Reinforcement Learning with MPC Scaffolding for Dexterous Manipulation","created":"2026-09-14","cited_by_count":1,"area":"deeprl"},{"id":"2401.04145","title":"Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep Reinforcement Learning Method for Global Path Planning","created":"2024-01-08","cited_by_count":0,"area":"deeprl"},{"id":"2405.13609","title":"Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning","created":"2024-05-22","cited_by_count":0,"area":"deeprl"},{"id":"2408.09112","title":"Training Verifiably Robust Agents Using Set-Based Reinforcement Learning","created":"2024-08-17","cited_by_count":0,"area":"deeprl"},{"id":"2408.10055","title":"Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm","created":"2024-08-19","cited_by_count":0,"area":"deeprl"},{"id":"2410.23840","title":"Deterministic Exploration via Stationary Bellman Error Maximization","created":"2024-10-31","cited_by_count":0,"area":"deeprl"},{"id":"2411.13020","title":"AsymDex: Asymmetry and Relative Coordinates for RL-based Bimanual Dexterity","created":"2024-11-20","cited_by_count":0,"area":"deeprl"},{"id":"2411.19732","title":"Improving generalization of robot locomotion policies via Sharpness-Aware Reinforcement Learning","created":"2024-11-29","cited_by_count":0,"area":"deeprl"},{"id":"2503.14554","title":"Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot","created":"2025-03-17","cited_by_count":0,"area":"deeprl"},{"id":"2504.08000","title":"Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning","created":"2025-04-09","cited_by_count":0,"area":"deeprl"},{"id":"2504.21585","title":"Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning","created":"2025-04-30","cited_by_count":0,"area":"deeprl"},{"id":"2505.00165","title":"Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control","created":"2025-04-30","cited_by_count":0,"area":"deeprl"},{"id":"2508.05838","title":"Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction","created":"2025-08-07","cited_by_count":0,"area":"deeprl"},{"id":"2509.17812","title":"Tac2Motion: Contact-Aware Reinforcement Learning with Tactile Feedback for Robotic Hand Manipulation","created":"2025-09-22","cited_by_count":0,"area":"deeprl"},{"id":"2509.19464","title":"Evaluation-Aware Reinforcement Learning","created":"2025-09-23","cited_by_count":0,"area":"deeprl"}],"next_cursor":"100"}