Behavior Cloning

Also known as BC

Overview

Behavior cloning learns a policy by matching expert actions to observed states or images, offering a direct way to turn demonstrations into control without designing a reward function. Common approaches include supervised regression, sequence and diffusion policies, visual or language-conditioned models, and methods that retrieve, reweight, or augment demonstrations. Researchers evaluate these methods in settings such as simulated driving, robotic manipulation, navigation, and long-horizon tasks, with growing attention to recovery from errors and shifts in the environment. A central challenge is that good action-prediction scores do not guarantee successful closed-loop behavior: errors can compound, demonstrations may be noisy or incomplete, and policies must handle multimodal actions and unfamiliar states safely.

Latest papers

CardsList

46 papers12 papers in the last four weeks, up 140% on the four weeks before. 0.1% of all new papers.

  1. AWLS: Advantage-Weighted Latent Steering for One-Step Generative Robotic Manipulation Policies

    Oct 20, 2026Jiahong Tang, Jiaju He, Zhiyuan Yang +2Robot Policy LearningRobotic Manipulation

  2. ALIGN: Aligning Condition Estimation and Expression in Advantage-Conditioned Behavior Cloning

    Oct 19, 2026Zechen Wang, Zhenqi Qiu, Houlong Xiong +8Robot Imitation LearningBehavior Cloning

  3. Graph-Reweighted Behavior Cloning with Human Interventions for Precise Robotic Manipulation

    Oct 14, 2026Xiaoman Li, Zhiqiang Yang, Jiayu Hu +6Robot Imitation LearningBehavior Cloning

  4. Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving based on Bird's-Eye View in Simulated Cities

    Oct 14, 2026Eric Aislan Antonelo, Gustavo Claudio Karl Couto, Christian Möller +1Instance ReweightingAutonomous Driving

  5. Where Small Mistakes Matter: Quantifying State Criticality for Imitation Learning

    Oct 13, 2026Yusuf Umut Ciftci, Joonwon Kang, Ajay Suresha Sathya +1Imitation LearningRobot Imitation Learning

  6. Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning

    Oct 7, 2026Prabin Kumar Rath, Omkar Patil, Nakul GopalanBehavior CloningRobot Imitation Learning

  7. An Informational Curse of Horizon in Goal-Conditioned Policy Learning

    Oct 7, 2026John L. Zhou, Yuxuan Dong, Jonathan C. KaoGoal-Conditioned RLGeneralization in RL

  8. Behavioral Cloning Mystery

    Oct 5, 2026Seohong Park, Sergey LevineBehavior CloningImitation Learning

  9. Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving

    Sep 29, 2026Bruno Maciel Machado, Eric Aislan AntoneloEnd-to-End Autonomous DrivingDiffusion Policy

  10. Disagreement-Regularized Imitation Learning for Image-Based Continuous Control with Gaussian and Beta Policies

    Sep 29, 2026Irving Giovani Bronzatti Petrazzini, Eric Aislan AntoneloImitation LearningBehavior Cloning

  11. Is Online Interaction Necessary for Recovery? A Minimalist Approach to Robust Planning via Perturbation

    Sep 27, 2026Bumgeun Park, Donghwan LeeRobot Imitation LearningBehavior Cloning

  12. Training-free Behavior Cloning

    Sep 24, 2026Maximilian Adang, Timothy Chen, Lars Osterberg +2Robot Policy LearningBehavior Cloning

  13. HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface

    Sep 17, 2026Zimu Han, Yiming Zeng, Jiyao Zhang +9Interactive Imitation LearningVision-Language-Action Models

  14. Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor Treatment

    Sep 6, 2026Aleksandar Dimitrov, Giacomo SpiglerActor-Critic MethodsSoft Actor-Critic

  15. Closed-Loop Evaluation of Bird's-Eye-View Maps from Cross-View Transformers as Inputs to Behavior-Cloning Policies

    Sep 5, 2026Felipe Carlos dos Santos, Eric Antonelo, Gustavo Claudio Karl CoutoBird's-Eye-View SegmentationBird's-Eye-View Representation

  16. A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

    Sep 3, 2026Gustavo Claudio Karl Couto, Eric Aislan Antonelo, Gabriel George ZippererEnd-to-End Autonomous DrivingSim-to-Real Transfer

  17. RedLight-VLA: Models for traffic-rule grounding and behavioral emphasis in driving policies

    Aug 21, 2026Bala Murali Manoghar Sai Sudhakar, Sourab Bapu Sridhar, Sandipan Das +5Autonomous DrivingVLMs for Autonomous Driving

  18. Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation

    Aug 12, 2026Zheyu Zhuang, Ruiyu Wang, Nils Ingelhag +2Data AugmentationDomain Generalization

  19. Language-Critique Imitation Learning from Suboptimal Demonstrations

    Jul 1, 2026Chih-Han Yang, Dai-Jie Wu, Yun-Ping Huang +3Imitation LearningBehavior Cloning

  20. WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation

    Jun 26, 2026Justin Yu, Andrew Goldberg, Kavish Kondap +7Long-Horizon Robotic ManipulationRobot Skill Learning

  21. Scalable Behavior Cloning with Open Data, Training, and Evaluation

    Jun 25, 2026Arthur Allshire, Himanshu Gaurav Singh, Ritvik Singh +15Robot Policy LearningDiffusion Transformer

  22. Decoupling the Declarative from the Procedural in Vision-Language-Action Models

    Jun 19, 2026Nikolaos Tsagkas, Andreas Sochopoulos, Chris Xiaoxuan Lu +2Robotic ManipulationTransfer Learning

  23. MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs

    Jun 18, 2026Zheyu Zhuang, Ruiyu Wang, Giovanni Luca Marchetti +2Robot Skill LearningGeneralization in Robotic Manipulation

  24. What Demonstration Curation Metrics Do to Your Policy

    Jun 8, 2026Aarav BediTraining Data CurationLearning from Demonstration