{"total":113,"rows":[{"id":"2005.05951","title":"MOReL : Model-Based Offline Reinforcement Learning","created":"2020-05-12","cited_by_count":590,"area":"offlinerl"},{"id":"2203.04955","title":"Temporal Difference Learning for Model Predictive Control","created":"2022-03-09","cited_by_count":397,"area":"wm"},{"id":"2102.08363","title":"COMBO: Conservative Offline Model-Based Policy Optimization","created":"2021-02-16","cited_by_count":370,"area":"offlinerl"},{"id":"2202.00665","title":"Tutorial on amortized optimization","created":"2022-02-01","cited_by_count":83,"area":null},{"id":"2203.13251","title":"Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation","created":"2022-03-24","cited_by_count":78,"area":"offlinerl"},{"id":"2303.12076","title":"Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play","created":"2023-03-21","cited_by_count":62,"area":null},{"id":"2111.11188","title":"Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification","created":"2021-11-22","cited_by_count":61,"area":"offlinerl"},{"id":"2207.07560","title":"Skill-based Model-based Reinforcement Learning","created":"2022-07-15","cited_by_count":50,"area":null},{"id":"2102.10769","title":"MobILE: Model-Based Imitation Learning From Observation Alone","created":"2021-02-22","cited_by_count":44,"area":"offlinerl"},{"id":"2104.10159","title":"MBRL-Lib: A Modular Library for Model-based Reinforcement Learning","created":"2021-04-20","cited_by_count":42,"area":null},{"id":"2105.07351","title":"Model-Based Offline Planning with Trajectory Pruning","created":"2021-05-16","cited_by_count":30,"area":"offlinerl"},{"id":"2209.11221","title":"Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps","created":"2022-09-22","cited_by_count":29,"area":null},{"id":"2102.13073","title":"Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians","created":"2021-02-25","cited_by_count":28,"area":null},{"id":"2103.13842","title":"Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning","created":"2021-03-25","cited_by_count":28,"area":null},{"id":"2111.03189","title":"Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning","created":"2021-11-04","cited_by_count":26,"area":null},{"id":"2201.11861","title":"The Challenges of Exploration for Offline Reinforcement Learning","created":"2022-01-27","cited_by_count":26,"area":"offlinerl"},{"id":"2502.02133","title":"Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification","created":"2025-02-04","cited_by_count":26,"area":"deeprl"},{"id":"2106.09119","title":"Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL","created":"2021-06-16","cited_by_count":24,"area":"offlinerl"},{"id":"2302.06604","title":"ALAN: Autonomously Exploring Robotic Agents in the Real World","created":"2023-02-13","cited_by_count":24,"area":null},{"id":"2111.11097","title":"UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning","created":"2021-11-22","cited_by_count":23,"area":"offlinerl"},{"id":"2209.12016","title":"Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels","created":"2022-09-24","cited_by_count":21,"area":null},{"id":"2301.04741","title":"Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models","created":"2023-01-11","cited_by_count":21,"area":null},{"id":"2206.00826","title":"BayesFormer: Transformer with Uncertainty Estimation","created":"2022-06-02","cited_by_count":19,"area":null},{"id":"2212.07407","title":"Cross-Domain Transfer via Semantic Skill Imitation","created":"2022-12-14","cited_by_count":18,"area":null},{"id":"2104.05043","title":"Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning","created":"2021-04-11","cited_by_count":17,"area":null},{"id":"2108.10273","title":"Collect & Infer -- a fresh look at data-efficient Reinforcement Learning","created":"2021-08-23","cited_by_count":17,"area":null},{"id":"2501.02709","title":"Horizon Generalization in Reinforcement Learning","created":"2025-01-06","cited_by_count":17,"area":"deeprl"},{"id":"2503.18871","title":"Bootstrapped Model Predictive Control","created":"2025-03-24","cited_by_count":16,"area":null},{"id":"2110.03363","title":"Evaluating model-based planning and planner amortization for continuous control","created":"2021-10-07","cited_by_count":15,"area":null},{"id":"2109.08603","title":"Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration","created":"2021-09-17","cited_by_count":14,"area":null},{"id":"2310.07220","title":"COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL","created":"2023-10-11","cited_by_count":14,"area":null},{"id":"2104.11353","title":"Optimal Cost Design for Model Predictive Control","created":"2021-04-23","cited_by_count":13,"area":null},{"id":"2212.02603","title":"Learning to Optimize in Model Predictive Control","created":"2022-12-05","cited_by_count":11,"area":null},{"id":"2102.11122","title":"Reinforcement Learning of the Prediction Horizon in Model Predictive Control","created":"2021-02-22","cited_by_count":10,"area":null},{"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":"2201.09765","title":"Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning","created":"2022-01-24","cited_by_count":10,"area":null},{"id":"2212.02587","title":"Learning Sampling Distributions for Model Predictive Control","created":"2022-12-05","cited_by_count":10,"area":null},{"id":"2306.11941","title":"Efficient Dynamics Modeling in Interactive Environments with Koopman Theory","created":"2023-06-20","cited_by_count":10,"area":null},{"id":"2209.15256","title":"S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning","created":"2022-09-30","cited_by_count":9,"area":"offlinerl"},{"id":"2503.00533","title":"BodyGen: Advancing Towards Efficient Embodiment Co-Design","created":"2025-03-01","cited_by_count":9,"area":null},{"id":"2104.02863","title":"The Value of Planning for Infinite-Horizon Model Predictive Control","created":"2021-04-07","cited_by_count":8,"area":null},{"id":"2111.15382","title":"Continuous Control With Ensemble Deep Deterministic Policy Gradients","created":"2021-11-30","cited_by_count":8,"area":null},{"id":"2210.00498","title":"EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model","created":"2022-10-02","cited_by_count":8,"area":null},{"id":"2404.03037","title":"Model-based Reinforcement Learning for Parameterized Action Spaces","created":"2024-04-03","cited_by_count":8,"area":"deeprl"},{"id":"2105.11640","title":"Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles","created":"2021-05-25","cited_by_count":7,"area":"driving"},{"id":"2111.04146","title":"Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning","created":"2021-11-07","cited_by_count":7,"area":null},{"id":"2306.00840","title":"What model does MuZero learn?","created":"2023-06-01","cited_by_count":7,"area":null},{"id":"2310.04590","title":"Deep Model Predictive Optimization","created":"2023-10-06","cited_by_count":7,"area":null},{"id":"2502.06996","title":"A view on learning robust goal-conditioned value functions: Interplay between RL and MPC","created":"2025-02-10","cited_by_count":7,"area":"deeprl"},{"id":"2503.04256","title":"Knowledge Retention for Continual Model-Based Reinforcement Learning","created":"2025-03-06","cited_by_count":7,"area":"wm"},{"id":"2511.00423","title":"Bootstrap Off-policy with World Model","created":"2025-11-01","cited_by_count":7,"area":"wm"},{"id":"2112.04153","title":"Model-Value Inconsistency as a Signal for Epistemic Uncertainty","created":"2021-12-08","cited_by_count":6,"area":null},{"id":"2204.08647","title":"Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation","created":"2022-04-19","cited_by_count":6,"area":null},{"id":"2406.03995","title":"AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control","created":"2024-06-06","cited_by_count":6,"area":"deeprl"},{"id":"2406.07381","title":"World Models with Hints of Large Language Models for Goal Achieving","created":"2024-06-11","cited_by_count":6,"area":"wm"},{"id":"2411.02446","title":"Learning World Models for Unconstrained Goal Navigation","created":"2024-11-03","cited_by_count":6,"area":"wm"},{"id":"2601.21306","title":"The Surprising Difficulty of Search in Model-Based Reinforcement Learning","created":"2026-01-29","cited_by_count":6,"area":"deeprl"},{"id":"2212.08235","title":"A Simple Decentralized Cross-Entropy Method","created":"2022-12-16","cited_by_count":5,"area":null},{"id":"2302.04009","title":"Investigating the role of model-based learning in exploration and transfer","created":"2023-02-08","cited_by_count":5,"area":null},{"id":"2109.07627","title":"Adversarially Regularized Policy Learning Guided by Trajectory Optimization","created":"2021-09-16","cited_by_count":4,"area":null},{"id":"2111.00262","title":"Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner","created":"2021-10-30","cited_by_count":4,"area":null},{"id":"2210.01426","title":"Continuous Monte Carlo Graph Search","created":"2022-10-04","cited_by_count":4,"area":null},{"id":"2401.07369","title":"CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design","created":"2024-01-14","cited_by_count":4,"area":"deeprl"},{"id":"2409.09869","title":"Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent","created":"2024-09-15","cited_by_count":4,"area":"deeprl"},{"id":"2506.06261","title":"Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens","created":"2025-06-06","cited_by_count":4,"area":"offlinerl"},{"id":"2109.07275","title":"DROMO: Distributionally Robust Offline Model-based Policy Optimization","created":"2021-09-15","cited_by_count":3,"area":"offlinerl"},{"id":"2311.16996","title":"Goal-conditioned Offline Planning from Curious Exploration","created":"2023-11-28","cited_by_count":3,"area":null},{"id":"2502.20030","title":"Offline Reinforcement Learning via Inverse Optimization","created":"2025-02-27","cited_by_count":3,"area":"offlinerl"},{"id":"2506.16079","title":"Investigating Lagrangian Neural Networks for Infinite Horizon Planning in Quadrupedal Locomotion","created":"2025-06-19","cited_by_count":3,"area":null},{"id":"2510.14643","title":"Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation","created":"2025-10-16","cited_by_count":3,"area":"diffusion"},{"id":"2602.14351","title":"WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control","created":"2026-02-15","cited_by_count":3,"area":"wm"},{"id":"2103.12999","title":"Discriminator Augmented Model-Based Reinforcement Learning","created":"2021-03-24","cited_by_count":2,"area":null},{"id":"2202.02405","title":"BAM: Bayes with Adaptive Memory","created":"2022-02-04","cited_by_count":2,"area":null},{"id":"2308.15808","title":"Learning the References of Online Model Predictive Control for Urban Self-Driving","created":"2023-08-30","cited_by_count":2,"area":"driving"},{"id":"2405.16184","title":"Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions","created":"2024-05-25","cited_by_count":2,"area":"deeprl"},{"id":"2412.00086","title":"Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning","created":"2024-11-27","cited_by_count":2,"area":"deeprl"},{"id":"2502.20795","title":"Test-Time Alignment for Large Language Models via Textual Model Predictive Control","created":"2025-02-28","cited_by_count":2,"area":"alignment"},{"id":"2507.21533","title":"Model Predictive Adversarial Imitation Learning for Planning from Observation","created":"2025-07-29","cited_by_count":2,"area":"offlinerl"},{"id":"2602.19699","title":"CACTO-BIC: Scalable Actor-Critic Learning via Biased Sampling and GPU-Accelerated Trajectory Optimization","created":"2026-02-23","cited_by_count":2,"area":"deeprl"},{"id":"2112.00903","title":"Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics","created":"2021-12-02","cited_by_count":1,"area":null},{"id":"2209.08169","title":"Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning","created":"2022-09-16","cited_by_count":1,"area":null},{"id":"2312.05465","title":"On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR","created":"2023-12-09","cited_by_count":1,"area":null},{"id":"2404.10393","title":"Offline Trajectory Optimization for Offline Reinforcement Learning","created":"2024-04-16","cited_by_count":1,"area":"offlinerl"},{"id":"2409.14867","title":"A novel agent with formal goal-reaching guarantees: an experimental study with a mobile robot","created":"2024-09-23","cited_by_count":1,"area":"deeprl"},{"id":"2503.13289","title":"Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning","created":"2025-03-17","cited_by_count":1,"area":"deeprl"},{"id":"2509.06201","title":"Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control","created":"2025-09-07","cited_by_count":1,"area":null},{"id":"2509.16650","title":"Safe and Near-Optimal Control with Online Dynamics Learning","created":"2025-09-20","cited_by_count":1,"area":null},{"id":"2605.04568","title":"Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination","created":"2026-05-06","cited_by_count":1,"area":"deeprl"},{"id":"2605.04709","title":"ELVIS: Ensemble-Calibrated Latent Imagination for Long-Horizon Visual MPC","created":"2026-05-06","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":"2003.01283","title":"MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas","created":"2020-03-03","cited_by_count":0,"area":"offlinerl"},{"id":"2110.12239","title":"Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL","created":"2021-10-23","cited_by_count":0,"area":null},{"id":"2212.01348","title":"Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning","created":"2022-12-02","cited_by_count":0,"area":null},{"id":"2307.04019","title":"GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments","created":"2023-07-08","cited_by_count":0,"area":null},{"id":"2307.07752","title":"Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion","created":"2023-07-15","cited_by_count":0,"area":null},{"id":"2407.21359","title":"ProSpec RL: Plan Ahead, then Execute","created":"2024-07-31","cited_by_count":0,"area":null},{"id":"2409.08621","title":"An Empirical Study on the Computation Budget of Co-Optimization of Robot Design and Control in Simulation","created":"2024-09-13","cited_by_count":0,"area":null},{"id":"2410.04929","title":"Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2410.18626","title":"SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance","created":"2024-10-24","cited_by_count":0,"area":"offlinerl"},{"id":"2412.05675","title":"M$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model","created":"2024-12-07","cited_by_count":0,"area":"offlinerl"}],"next_cursor":"100"}