{"total":94,"rows":[{"id":"2310.06114","title":"Learning Interactive Real-World Simulators","created":"2023-10-09","cited_by_count":458,"area":"wm"},{"id":"2206.14176","title":"DayDreamer: World Models for Physical Robot Learning","created":"2022-06-28","cited_by_count":400,"area":"wm"},{"id":"2106.05091","title":"PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training","created":"2021-06-09","cited_by_count":302,"area":"alignment"},{"id":"1802.09564","title":"Reinforcement and Imitation Learning for Diverse Visuomotor Skills","created":"2018-02-26","cited_by_count":126,"area":"offlinerl"},{"id":"2402.17139","title":"Video as the New Language for Real-World Decision Making","created":"2024-02-27","cited_by_count":87,"area":null},{"id":"2110.03239","title":"Understanding Domain Randomization for Sim-to-real Transfer","created":"2021-10-07","cited_by_count":80,"area":null},{"id":"2101.04882","title":"Asymmetric self-play for automatic goal discovery in robotic manipulation","created":"2021-01-13","cited_by_count":72,"area":null},{"id":"2206.09328","title":"A Survey on Model-based Reinforcement Learning","created":"2022-06-19","cited_by_count":66,"area":"wm"},{"id":"2111.00956","title":"Robot Learning from Randomized Simulations: A Review","created":"2021-11-01","cited_by_count":63,"area":null},{"id":"2107.00646","title":"Learning to See before Learning to Act: Visual Pre-training for Manipulation","created":"2021-07-01","cited_by_count":51,"area":null},{"id":"2406.12505","title":"Demonstrating Agile Flight from Pixels without State Estimation","created":"2024-06-18","cited_by_count":31,"area":"deeprl"},{"id":"2307.03719","title":"Polybot: Training One Policy Across Robots While Embracing Variability","created":"2023-07-07","cited_by_count":28,"area":null},{"id":"2309.14236","title":"MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation","created":"2023-09-25","cited_by_count":28,"area":"wm"},{"id":"2102.07659","title":"Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems","created":"2021-02-15","cited_by_count":24,"area":null},{"id":"2203.15955","title":"Investigating the Properties of Neural Network Representations in Reinforcement Learning","created":"2022-03-30","cited_by_count":24,"area":null},{"id":"2510.20808","title":"The Reality Gap in Robotics: Challenges, Solutions, and Best Practices","created":"2025-10-23","cited_by_count":24,"area":null},{"id":"2211.00539","title":"Dungeons and Data: A Large-Scale NetHack Dataset","created":"2022-11-01","cited_by_count":16,"area":"offlinerl"},{"id":"2310.00239","title":"AdaptNet: Policy Adaptation for Physics-Based Character Control","created":"2023-09-30","cited_by_count":16,"area":null},{"id":"2205.10787","title":"A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning","created":"2022-05-22","cited_by_count":15,"area":null},{"id":"2501.14377","title":"Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight","created":"2025-01-24","cited_by_count":15,"area":"deeprl"},{"id":"2206.06282","title":"Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks","created":"2022-06-13","cited_by_count":14,"area":null},{"id":"2110.13052","title":"Can Q-Learning be Improved with Advice?","created":"2021-10-25","cited_by_count":13,"area":null},{"id":"2107.00339","title":"Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding","created":"2021-07-01","cited_by_count":12,"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":"2111.07964","title":"Deep Network Approximation in Terms of Intrinsic Parameters","created":"2021-11-15","cited_by_count":12,"area":null},{"id":"2104.14118","title":"REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter","created":"2021-04-29","cited_by_count":11,"area":null},{"id":"2209.01610","title":"Generalization in Neural Networks: A Broad Survey","created":"2022-09-04","cited_by_count":11,"area":null},{"id":"2506.14811","title":"Self-Composing Policies for Scalable Continual Reinforcement Learning","created":"2025-06-04","cited_by_count":11,"area":"deeprl"},{"id":"2107.04775","title":"LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks","created":"2021-07-10","cited_by_count":10,"area":null},{"id":"2210.15598","title":"Provable Sim-to-real Transfer in Continuous Domain with Partial Observations","created":"2022-10-27","cited_by_count":9,"area":null},{"id":"2305.13030","title":"Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations","created":"2023-05-22","cited_by_count":9,"area":null},{"id":"2403.12193","title":"Continual Domain Randomization","created":"2024-03-18","cited_by_count":8,"area":"deeprl"},{"id":"2201.12462","title":"Explaining Reinforcement Learning Policies through Counterfactual Trajectories","created":"2022-01-29","cited_by_count":7,"area":null},{"id":"2210.10464","title":"On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness","created":"2022-10-19","cited_by_count":7,"area":null},{"id":"2306.09010","title":"DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control","created":"2023-06-15","cited_by_count":7,"area":null},{"id":"2312.09436","title":"Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy","created":"2023-11-27","cited_by_count":6,"area":null},{"id":"2306.02413","title":"Evaluating Continual Learning on a Home Robot","created":"2023-06-04","cited_by_count":5,"area":null},{"id":"2311.02393","title":"Continual Learning of Unsupervised Monocular Depth from Videos","created":"2023-11-04","cited_by_count":5,"area":null},{"id":"2102.06782","title":"Q-Value Weighted Regression: Reinforcement Learning with Limited Data","created":"2021-02-12","cited_by_count":4,"area":null},{"id":"2203.06587","title":"Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model","created":"2022-03-13","cited_by_count":4,"area":null},{"id":"2206.08883","title":"CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer","created":"2022-06-17","cited_by_count":4,"area":null},{"id":"2210.12448","title":"Probing Transfer in Deep Reinforcement Learning without Task Engineering","created":"2022-10-22","cited_by_count":4,"area":null},{"id":"2307.07753","title":"Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks","created":"2023-07-15","cited_by_count":4,"area":null},{"id":"2403.07916","title":"Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization","created":"2024-02-27","cited_by_count":4,"area":"deeprl"},{"id":"2406.00887","title":"Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations","created":"2024-06-02","cited_by_count":4,"area":"deeprl"},{"id":"2411.14246","title":"Simulation-Aided Policy Tuning for Black-Box Robot Learning","created":"2024-11-21","cited_by_count":4,"area":null},{"id":"2509.23846","title":"Adversarial Diffusion for Robust Reinforcement Learning","created":"2025-09-28","cited_by_count":4,"area":"diffusion"},{"id":"2104.03807","title":"A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control","created":"2021-04-08","cited_by_count":3,"area":null},{"id":"2106.13280","title":"Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots","created":"2021-06-24","cited_by_count":3,"area":null},{"id":"2107.04487","title":"ARC: Adversarially Robust Control Policies for Autonomous Vehicles","created":"2021-07-09","cited_by_count":3,"area":"driving"},{"id":"2109.11801","title":"SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation","created":"2021-09-24","cited_by_count":3,"area":null},{"id":"2406.09976","title":"Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model","created":"2024-06-14","cited_by_count":3,"area":"wm"},{"id":"2104.14386","title":"Pre-training of Deep RL Agents for Improved Learning under Domain Randomization","created":"2021-04-29","cited_by_count":2,"area":null},{"id":"2106.05139","title":"Pretrained Encoders are All You Need","created":"2021-06-09","cited_by_count":2,"area":null},{"id":"2108.04097","title":"Deep Learning for Embodied Vision Navigation: A Survey","created":"2021-07-07","cited_by_count":2,"area":null},{"id":"2110.08307","title":"GrowSpace: Learning How to Shape Plants","created":"2021-10-15","cited_by_count":2,"area":null},{"id":"2110.10255","title":"A Simple Approach to Continual Learning by Transferring Skill Parameters","created":"2021-10-19","cited_by_count":2,"area":null},{"id":"2201.05560","title":"Demystifying Reinforcement Learning in Time-Varying Systems","created":"2022-01-14","cited_by_count":2,"area":null},{"id":"2205.06946","title":"Unified Distributed Environment","created":"2022-05-14","cited_by_count":2,"area":null},{"id":"2210.07282","title":"Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter Aircrafts","created":"2022-10-13","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":"2403.17266","title":"Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning","created":"2024-03-25","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":"1903.05697","title":"Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks","created":"2019-03-13","cited_by_count":1,"area":"offlinerl"},{"id":"2112.04083","title":"Best Arm Identification under Additive Transfer Bandits","created":"2021-12-08","cited_by_count":1,"area":null},{"id":"2112.05299","title":"Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots","created":"2021-12-10","cited_by_count":1,"area":null},{"id":"2304.08840","title":"GoferBot: A Visual Guided Human-Robot Collaborative Assembly System","created":"2023-04-18","cited_by_count":1,"area":null},{"id":"2403.04001","title":"Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer","created":"2024-03-06","cited_by_count":1,"area":"deeprl"},{"id":"2410.06828","title":"Transfer Learning for a Class of Cascade Dynamical Systems","created":"2024-10-09","cited_by_count":1,"area":"deeprl"},{"id":"2411.04915","title":"Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping","created":"2024-11-07","cited_by_count":1,"area":"deeprl"},{"id":"2501.14443","title":"Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent","created":"2025-01-24","cited_by_count":1,"area":"deeprl"},{"id":"2506.10133","title":"Statistical Guarantees for Offline Domain Randomization","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2507.08726","title":"Learning human-to-robot handovers through 3D scene reconstruction","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2508.11200","title":"Visuomotor Grasping with World Models for Surgical Robots","created":"2025-08-15","cited_by_count":1,"area":"wm"},{"id":"2509.06053","title":"PolicyEvolve: Evolving Programmatic Policies by LLMs for multi-player games via Population-Based Training","created":"2025-09-07","cited_by_count":1,"area":null},{"id":"2101.05640","title":"Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems","created":"2021-01-13","cited_by_count":0,"area":null},{"id":"2101.11451","title":"Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic Arms","created":"2021-01-27","cited_by_count":0,"area":null},{"id":"2108.02128","title":"Parallelized Reverse Curriculum Generation","created":"2021-08-04","cited_by_count":0,"area":null},{"id":"2108.07514","title":"Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning","created":"2021-08-17","cited_by_count":0,"area":null},{"id":"2111.07986","title":"Nonprehensile Riemannian Motion Predictive Control","created":"2021-11-15","cited_by_count":0,"area":null},{"id":"2202.02395","title":"Malleable Agents for Re-Configurable Robotic Manipulators","created":"2022-02-04","cited_by_count":0,"area":null},{"id":"2205.04297","title":"Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes","created":"2022-05-09","cited_by_count":0,"area":null},{"id":"2210.10876","title":"Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale","created":"2022-10-19","cited_by_count":0,"area":null},{"id":"2310.10264","title":"Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2312.09773","title":"In vivo learning-based control of microbial populations density in bioreactors","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2404.15648","title":"Cross-Embodied Affordance Transfer through Learning Affordance Equivalences","created":"2024-04-24","cited_by_count":0,"area":null},{"id":"2409.05742","title":"Robust Loss Functions for Object Grasping under Limited Ground Truth","created":"2024-09-09","cited_by_count":0,"area":null},{"id":"2510.10451","title":"Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2601.16677","title":"Sim-to-Real Transfer via a Style-Identified Cycle Consistent Generative Adversarial Network: Zero-Shot Deployment on Robotic Manipulators through Visual Domain Adaptation","created":"2026-01-23","cited_by_count":0,"area":"deeprl"},{"id":"2602.06023","title":"Developing a Discrete-Event Simulator of School Shooter Behavior from VR Data","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2604.03905","title":"DC-Ada: Reward-Only Decentralized Sensor Adaptation for Heterogeneous Multi-Robot Teams","created":"2026-04-05","cited_by_count":0,"area":null},{"id":"2606.22145","title":"Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System","created":"2026-06-20","cited_by_count":0,"area":"deeprl"},{"id":"2608.07546","title":"Generalizing deep reinforcement learning across cable-driven parallel robot configurations with actuator-level policies","created":"2026-07-31","cited_by_count":0,"area":"deeprl"},{"id":"2608.14135","title":"AgilePE: Autonomous UAV Pursuit-Evasion via Self-Play Reinforcement Learning","created":"2026-08-14","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}