mlsanityData to 7 Oct 2026

Global overview of Imitation Learning

arXiv 1801.06503 ↗First posted 19 Jan 2018stat.ML cs.LGcited by 16

On the map: Offline RL and imitation learning from data → Imitation learning methods

Abstract (arXiv)

Imitation Learning is a sequential task where the learner tries to mimic an expert's action in order to achieve the best performance. Several algorithms have been proposed recently for this task. In this project, we aim at proposing a wide review of these algorithms, presenting their main features and comparing them on their performance and their regret bounds.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Placed in Imitation learning methods, one of 13 directions in Offline RL and imitation learning from data. Builds on 3 of its 11 references that are in the map. First posted on arXiv 19 Jan 2018.

Builds on

3 of 11 references.

References · 3

  1. 2016Generative Adversarial Imitation Learningcited by 1,576
  2. 2017One-Shot Imitation Learningcited by 232
  3. 2014Reinforcement and Imitation Learning via Interactive No-Regret Learningcited by 116

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2019: 2; 2020: 2; 2021: 2; 2022: 0; 2023: 5; 2024: 1; 2025: 3; 2026: 1.

16 papers.

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  1. 2023Motion Planning for Autonomous Driving: The State of the Art and Future Perspectivescited by 112
  2. 2020Strictly Batch Imitation Learning by Energy-based Distribution Matchingcited by 54
  3. 2023Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformercited by 12
  4. 2023Time-series Generation by Contrastive Imitationcited by 8
  5. 2019Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learningcited by 4
  6. 2021The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Expertscited by 4
  7. 2023Addressing Limitations of State-Aware Imitation Learning for Autonomous Drivingcited by 3
  8. 2023A Policy for Early Sequence Classificationcited by 2
  9. 2025End-to-End Imitation Learning for Optimal Asteroid Proximity Operationscited by 1
  10. 2025A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approachcited by 1
  11. 2019Transfer Learning for Prosthetics Using Imitation Learningcited by 0
  12. 2020Augmented Q Imitation Learning (AQIL)cited by 0
4 more
  1. 2021Generalized Reinforcement Learning for Building Control using Behavioral Cloningcited by 0
  2. 2024SIL-RRT*: Learning Sampling Distribution through Self Imitation Learningcited by 0
  3. 2025Medical Vision Language Models as Policies for Robotic Surgerycited by 0
  4. 2026Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidancecited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2021Imitation Learning: Progress, Taxonomies and Challenges
  2. 2025Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances
  3. 2024A Survey of Imitation Learning Methods, Environments and Metrics
  4. 2023A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
  5. 2019Recent Advances in Imitation Learning from Observation
  6. 2020The Past and Present of Imitation Learning: A Citation Chain Study
  7. 2021Imitation Learning by Reinforcement Learning
  8. 2022Interactive Imitation Learning in Robotics: A Survey