{"total":93,"rows":[{"id":"1811.06711","title":"An Algorithmic Perspective on Imitation Learning","created":"2018-11-16","cited_by_count":459,"area":"offlinerl"},{"id":"2410.08146","title":"Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning","created":"2024-10-10","cited_by_count":279,"area":"lr"},{"id":"2309.02473","title":"A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges","created":"2023-09-05","cited_by_count":148,"area":"offlinerl"},{"id":"2010.11895","title":"What are the Statistical Limits of Offline RL with Linear Function Approximation?","created":"2020-10-22","cited_by_count":136,"area":"offlinerl"},{"id":"1905.12888","title":"Imitation Learning as $f$-Divergence Minimization","created":"2019-05-30","cited_by_count":123,"area":"offlinerl"},{"id":"2109.13333","title":"Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients","created":"2021-09-27","cited_by_count":122,"area":"driving"},{"id":"2202.02446","title":"Adversarially Trained Actor Critic for Offline Reinforcement Learning","created":"2022-02-05","cited_by_count":111,"area":"offlinerl"},{"id":"1909.01871","title":"Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning","created":"2019-09-04","cited_by_count":100,"area":"offlinerl"},{"id":"2009.05990","title":"Toward the Fundamental Limits of Imitation Learning","created":"2020-09-13","cited_by_count":96,"area":"offlinerl"},{"id":"1910.12179","title":"BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning","created":"2019-10-27","cited_by_count":91,"area":"offlinerl"},{"id":"1905.10948","title":"Provably Efficient Imitation Learning from Observation Alone","created":"2019-05-27","cited_by_count":78,"area":"offlinerl"},{"id":"1812.04155","title":"Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention","created":"2018-12-10","cited_by_count":77,"area":"offlinerl"},{"id":"2009.07253","title":"Autoregressive Knowledge Distillation through Imitation Learning","created":"2020-09-15","cited_by_count":74,"area":"offlinerl"},{"id":"2010.14876","title":"Fighting Copycat Agents in Behavioral Cloning from Observation Histories","created":"2020-10-28","cited_by_count":71,"area":"offlinerl"},{"id":"2106.12177","title":"Imitation Learning: Progress, Taxonomies and Challenges","created":"2021-06-23","cited_by_count":58,"area":"offlinerl"},{"id":"2306.11816","title":"Learning to Generate Better Than Your LLM","created":"2023-06-20","cited_by_count":49,"area":null},{"id":"1905.06750","title":"Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation","created":"2019-05-16","cited_by_count":42,"area":"offlinerl"},{"id":"2106.02757","title":"Heuristic-Guided Reinforcement Learning","created":"2021-06-05","cited_by_count":42,"area":null},{"id":"1805.11240","title":"Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning","created":"2018-05-29","cited_by_count":39,"area":"offlinerl"},{"id":"2102.09161","title":"On the Sample Complexity of Stability Constrained Imitation Learning","created":"2021-02-18","cited_by_count":38,"area":"offlinerl"},{"id":"2012.09293","title":"Imitation Learning with Stability and Safety Guarantees","created":"2020-12-16","cited_by_count":34,"area":"offlinerl"},{"id":"2311.12996","title":"RLIF: Interactive Imitation Learning as Reinforcement Learning","created":"2023-11-21","cited_by_count":30,"area":"offlinerl"},{"id":"2310.12972","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","created":"2023-10-19","cited_by_count":29,"area":"offlinerl"},{"id":"2502.20380","title":"Multi-Turn Code Generation Through Single-Step Rewards","created":"2025-02-27","cited_by_count":28,"area":"alignment"},{"id":"2106.03207","title":"Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage","created":"2021-06-06","cited_by_count":26,"area":"offlinerl"},{"id":"2207.06272","title":"Hindsight Learning for MDPs with Exogenous Inputs","created":"2022-07-13","cited_by_count":26,"area":null},{"id":"2106.06452","title":"Keyframe-Focused Visual Imitation Learning","created":"2021-06-11","cited_by_count":25,"area":"offlinerl"},{"id":"2003.02636","title":"Scalable Multi-Task Imitation Learning with Autonomous Improvement","created":"2020-02-25","cited_by_count":21,"area":"offlinerl"},{"id":"2304.00776","title":"Chain-of-Thought Predictive Control","created":"2023-04-03","cited_by_count":18,"area":"lr"},{"id":"2110.14118","title":"Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning","created":"2021-10-27","cited_by_count":17,"area":"offlinerl"},{"id":"2310.01737","title":"Blending Imitation and Reinforcement Learning for Robust Policy Improvement","created":"2023-10-03","cited_by_count":17,"area":null},{"id":"2410.13855","title":"Diffusing States and Matching Scores: A New Framework for Imitation Learning","created":"2024-10-17","cited_by_count":16,"area":"diffusion"},{"id":"2502.20548","title":"$Q\\sharp$: Provably Optimal Distributional RL for LLM Post-Training","created":"2025-02-27","cited_by_count":15,"area":"lr"},{"id":"2203.08057","title":"POETREE: Interpretable Policy Learning with Adaptive Decision Trees","created":"2022-03-15","cited_by_count":14,"area":null},{"id":"2207.09705","title":"Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction","created":"2022-07-20","cited_by_count":14,"area":"offlinerl"},{"id":"2012.14906","title":"Synthesizing Decentralized Controllers with Graph Neural Networks and Imitation Learning","created":"2020-12-29","cited_by_count":12,"area":"offlinerl"},{"id":"2102.12948","title":"Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally","created":"2021-02-25","cited_by_count":12,"area":"offlinerl"},{"id":"1803.01129","title":"OIL: Observational Imitation Learning","created":"2018-03-03","cited_by_count":11,"area":"offlinerl"},{"id":"2306.10259","title":"Active Policy Improvement from Multiple Black-box Oracles","created":"2023-06-17","cited_by_count":11,"area":"offlinerl"},{"id":"2406.08234","title":"MaIL: Improving Imitation Learning with Mamba","created":"2024-06-12","cited_by_count":11,"area":"ssm"},{"id":"2602.01058","title":"Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning","created":"2026-02-01","cited_by_count":11,"area":"lr"},{"id":"1907.03423","title":"On-Policy Robot Imitation Learning from a Converging Supervisor","created":"2019-07-08","cited_by_count":10,"area":"offlinerl"},{"id":"2303.00732","title":"R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents","created":"2023-03-01","cited_by_count":10,"area":null},{"id":"2303.01728","title":"Guarded Policy Optimization with Imperfect Online Demonstrations","created":"2023-03-03","cited_by_count":10,"area":"distill"},{"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":"2303.02073","title":"How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement","created":"2023-03-03","cited_by_count":8,"area":"offlinerl"},{"id":"2410.05063","title":"Control-oriented Clustering of Visual Latent Representation","created":"2024-10-07","cited_by_count":8,"area":null},{"id":"1801.07292","title":"Convergence of Value Aggregation for Imitation Learning","created":"2018-01-22","cited_by_count":7,"area":"offlinerl"},{"id":"1907.02140","title":"Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model","created":"2019-07-03","cited_by_count":7,"area":"offlinerl"},{"id":"2207.08342","title":"A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation","created":"2022-07-18","cited_by_count":7,"area":null},{"id":"2210.09337","title":"Robust Imitation of a Few Demonstrations with a Backwards Model","created":"2022-10-17","cited_by_count":7,"area":null},{"id":"2212.03978","title":"Learning Graph Search Heuristics","created":"2022-12-07","cited_by_count":7,"area":"offlinerl"},{"id":"2505.23696","title":"Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms","created":"2025-05-29","cited_by_count":7,"area":null},{"id":"1806.04642","title":"Accelerating Imitation Learning with Predictive Models","created":"2018-06-12","cited_by_count":6,"area":"offlinerl"},{"id":"2208.00088","title":"Improved Policy Optimization for Online Imitation Learning","created":"2022-07-29","cited_by_count":6,"area":"offlinerl"},{"id":"2408.02912","title":"KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance","created":"2024-08-06","cited_by_count":6,"area":"offlinerl"},{"id":"2512.01993","title":"RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies","created":"2025-12-01","cited_by_count":6,"area":"driving"},{"id":"1912.12612","title":"Hierarchical Variational Imitation Learning of Control Programs","created":"2019-12-29","cited_by_count":5,"area":"offlinerl"},{"id":"2209.12868","title":"On Efficient Online Imitation Learning via Classification","created":"2022-09-26","cited_by_count":5,"area":"offlinerl"},{"id":"2503.08029","title":"Elastic Motion Policy: An Adaptive Dynamical System for Robust and Efficient One-Shot Imitation Learning","created":"2025-03-11","cited_by_count":5,"area":"offlinerl"},{"id":"2509.19658","title":"RoboSSM: Scalable In-context Imitation Learning via State-Space Models","created":"2025-09-24","cited_by_count":5,"area":"offlinerl"},{"id":"2006.07777","title":"Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms","created":"2020-06-14","cited_by_count":4,"area":"offlinerl"},{"id":"2310.07918","title":"Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning","created":"2023-10-11","cited_by_count":4,"area":"offlinerl"},{"id":"2312.00054","title":"Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective","created":"2023-11-29","cited_by_count":4,"area":"offlinerl"},{"id":"1811.02184","title":"Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning","created":"2018-11-06","cited_by_count":3,"area":"offlinerl"},{"id":"2002.08803","title":"Support-weighted Adversarial Imitation Learning","created":"2020-02-20","cited_by_count":3,"area":"offlinerl"},{"id":"2101.04736","title":"Bootstrapping Motor Skill Learning with Motion Planning","created":"2021-01-12","cited_by_count":3,"area":null},{"id":"2310.19831","title":"Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning","created":"2023-10-28","cited_by_count":3,"area":null},{"id":"2410.05782","title":"Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards","created":"2024-10-08","cited_by_count":3,"area":"alignment"},{"id":"2510.03207","title":"To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning","created":"2025-10-03","cited_by_count":3,"area":"deeprl"},{"id":"2512.09101","title":"Masked Generative Policy for Robotic Control","created":"2025-12-09","cited_by_count":3,"area":"offlinerl"},{"id":"1912.01261","title":"Continuous Online Learning and New Insights to Online Imitation Learning","created":"2019-12-03","cited_by_count":2,"area":"offlinerl"},{"id":"2405.04122","title":"Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning","created":"2024-05-07","cited_by_count":2,"area":null},{"id":"2412.07057","title":"Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning","created":"2024-12-09","cited_by_count":2,"area":"offlinerl"},{"id":"2505.21666","title":"Efficient Controllable Diffusion via Optimal Classifier Guidance","created":"2025-05-27","cited_by_count":2,"area":"diffusion"},{"id":"2007.02520","title":"Explaining Fast Improvement in Online Imitation Learning","created":"2020-07-06","cited_by_count":1,"area":"offlinerl"},{"id":"2104.01021","title":"Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics","created":"2021-04-02","cited_by_count":1,"area":"offlinerl"},{"id":"2105.03019","title":"Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories","created":"2021-05-07","cited_by_count":1,"area":"offlinerl"},{"id":"2205.07716","title":"Generalizing to New Tasks via One-Shot Compositional Subgoals","created":"2022-05-16","cited_by_count":1,"area":"offlinerl"},{"id":"2302.05630","title":"CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments","created":"2023-02-11","cited_by_count":1,"area":null},{"id":"2312.16860","title":"Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms","created":"2023-12-28","cited_by_count":1,"area":"offlinerl"},{"id":"2405.16739","title":"Oracle-Efficient Reinforcement Learning for Max Value Ensembles","created":"2024-05-27","cited_by_count":1,"area":"deeprl"},{"id":"2609.20756","title":"OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher","created":"2026-09-17","cited_by_count":1,"area":"driving"},{"id":"1806.07822","title":"Learning Neural Parsers with Deterministic Differentiable Imitation Learning","created":"2018-06-20","cited_by_count":0,"area":"offlinerl"},{"id":"2110.04669","title":"Leveraging Experience in Lazy Search","created":"2021-10-10","cited_by_count":0,"area":"offlinerl"},{"id":"2202.13436","title":"Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming","created":"2022-02-27","cited_by_count":0,"area":null},{"id":"2208.00478","title":"Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination","created":"2022-07-31","cited_by_count":0,"area":"offlinerl"},{"id":"2304.00573","title":"Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning","created":"2023-04-02","cited_by_count":0,"area":null},{"id":"2402.02608","title":"Accelerating Inverse Reinforcement Learning with Expert Bootstrapping","created":"2024-02-04","cited_by_count":0,"area":"offlinerl"},{"id":"2503.15918","title":"Denoising-based Contractive Imitation Learning","created":"2025-03-20","cited_by_count":0,"area":"offlinerl"},{"id":"2509.15981","title":"Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations","created":"2025-09-19","cited_by_count":0,"area":"deeprl"},{"id":"2604.23855","title":"Learning Selective LLM Autonomy from Copilot Feedback in Enterprise Customer Support Workflows","created":"2026-04-26","cited_by_count":0,"area":null},{"id":"2609.07303","title":"Long-Horizon Language Model Reinforcement Learning via Progressive Point Matching","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}