MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
On the map: Offline RL and imitation learning from data → Robot manipulation imitation learning
Abstract (arXiv)
Imitation learning from human demonstrations is a promising paradigm for teaching robots manipulation skills in the real world. However, learning complex long-horizon tasks often requires an unattainable amount of demonstrations. To reduce the high data requirement, we resort to human play data - video sequences of people freely interacting with the environment using their hands. Even with different morphologies, we hypothesize that human play data contain rich and salient information about physical interactions that can readily facilitate robot policy learning. Motivated by this, we introduce a hierarchical learning framework named MimicPlay that learns latent plans from human play data to guide low-level visuomotor control trained on a small number of teleoperated demonstrations. With systematic evaluations of 14 long-horizon manipulation tasks in the real world, we show that MimicPlay outperforms state-of-the-art imitation learning methods in task success rate, generalization ability, and robustness to disturbances. Code and videos are available at https://mimic-play.github.io
Key facts. Cited by 214 papers in the map (data through 7 Oct 2026). Placed in Robot manipulation imitation learning, one of 13 directions in Offline RL and imitation learning from data. Builds on 46 of its 71 references that are in the map. First posted on arXiv 24 Feb 2023.
Builds on
46 of 71 references.
Closest ancestors · 9
Same direction, newest first
- 2022Latent Plans for Task-Agnostic Offline Reinforcement Learning19 Sep
- 2022Graph Inverse Reinforcement Learning from Diverse Videos28 Jul
- 2022Behavior Transformers: Cloning k modes with one stone22 Jun
- 2021XIRL: Cross-embodiment Inverse Reinforcement Learning7 Jun
- 2021Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control28 Feb
- 2020Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations13 Mar
- 2019Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller21 Nov
- 2019Self-Supervised Correspondence in Visuomotor Policy Learning16 Sep
- 2018RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation7 Nov
Other references · 37
- 2017Attention Is All You Needcited by 59,932
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
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- 2021What Matters in Learning from Offline Human Demonstrations for Robot Manipulationcited by 699
- 2022R3M: A Universal Visual Representation for Robot Manipulationcited by 678
- 2021CLIPort: What and Where Pathways for Robotic Manipulationcited by 617
- 2022Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulationcited by 545
- 2020robosuite: A Modular Simulation Framework and Benchmark for Robot Learningcited by 484
- 2021Implicit Behavioral Cloningcited by 442
25 more
- 2022VIMA: General Robot Manipulation with Multimodal Promptscited by 403
- 2019Learning Latent Plans from Playcited by 310
- 2017Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperationcited by 286
- 2020Understanding Human Hands in Contact at Internet Scalecited by 281
- 2022Masked Visual Pre-training for Motor Controlcited by 246
- 2017One-Shot Visual Imitation Learning via Meta-Learningcited by 225
- 2017Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translationcited by 167
- 2022Human-to-Robot Imitation in the Wildcited by 157
- 2019Temporal Cycle-Consistency Learningcited by 151
- 2021TCLR: Temporal Contrastive Learning for Video Representationcited by 136
- 2021Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videoscited by 116
- 2019AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videoscited by 105
- 2022From Play to Policy: Conditional Behavior Generation from Uncurated Robot Datacited by 103
- 2022VideoDex: Learning Dexterity from Internet Videoscited by 101
- 2021Learning by Watching: Physical Imitation of Manipulation Skills from Human Videoscited by 87
- 2019IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Datacited by 85
- 2020Reinforcement Learning with Videos: Combining Offline Observations with Interactioncited by 80
- 2017Neural Task Programming: Learning to Generalize Across Hierarchical Taskscited by 75
- 2018TACO: Learning Task Decomposition via Temporal Alignment for Controlcited by 61
- 2022On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baselinecited by 55
- 2020Model-Based Inverse Reinforcement Learning from Visual Demonstrationscited by 52
- 2019Graph-Structured Visual Imitationcited by 43
- 2019Learning Predictive Models From Observation and Interactioncited by 41
- 2022PLATO: Predicting Latent Affordances Through Object-Centric Playcited by 12
- 2019Perceptual Values from Observationcited by 11
Built on by
Citing papers per year: 2023: 25; 2024: 62; 2025: 80; 2026: 47.
214 papers.
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By area:
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- 2026KnowDemo: Knowledge-Guided Robot Demonstration Generation from Human Videos18 Sep 2026
- 2026INSPECT: Learning Robot View Selection from Assistant Use17 Sep 2026
- 2026VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control17 Sep 2026
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