mlsanityData to 14 Oct 2026

Inverse reinforcement learning in continuous time and space

arXiv 1801.07663 ↗First posted 23 Jan 2018eess.SY cs.SY math.OCcited by 5

On the map: Offline RL and imitation learning from data → Inverse reinforcement learning

Abstract (arXiv)

This paper develops a data-driven inverse reinforcement learning technique for a class of linear systems to estimate the cost function of an agent online, using input-output measurements. A simultaneous state and parameter estimator is utilized to facilitate output-feedback inverse reinforcement learning, and cost function estimation is achieved up to multiplication by a constant.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Placed in Inverse reinforcement learning, one of 13 directions in Offline RL and imitation learning from data. Builds on 1 of its 28 references that are in the map. First posted on arXiv 23 Jan 2018.

Builds on

1 of 28 references.

References · 1

  1. 2016Online Output-Feedback Parameter and State Estimation for Second Order Linear Systemscited by 3

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Cited by year

Citing papers per year: 2020: 4; 2021: 0; 2022: 0; 2023: 0; 2024: 0; 2025: 1.

5 papers.

  1. 2020Online inverse reinforcement learning with unknown disturbancescited by 6
  2. 2020Online Observer-Based Inverse Reinforcement Learningcited by 4
  3. 2020Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problemscited by 2
  4. 2020Online inverse reinforcement learning with limited datacited by 2
  5. 2025Data-Driven Inverse Optimal Control for Continuous-Time Nonlinear Systemscited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2025Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations
  2. 2018Online inverse reinforcement learning for nonlinear systems
  3. 2026Data-Driven Inverse Reinforcement Learning of Linear Systems with Model Uncertainty: A Convex Optimization View
  4. 2025Adaptive Inverse Reinforcement Learning with Online Off-Policy Data Collection
  5. 2026Inverse Optimal Control for Linear Quadratic Problem with Poisson Jumps: Model-Free Inverse Reinforcement Learning Approaches
  6. 2021Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
  7. 2019Inverse Dynamic Games Based on Maximum Entropy Inverse Reinforcement Learning
  8. 2020Inverse Reinforcement Learning from a Gradient-based Learner